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Berryhill</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://independent.academia.edu/NathanHeller"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://independent.academia.edu/NathanHeller">Nathan Heller</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://swansea.academia.edu/IreneReppa"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://swansea.academia.edu/IreneReppa">Irene Reppa</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Swansea University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://independent.academia.edu/JChurcher"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://independent.academia.edu/JChurcher">John Churcher</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://univ-paris5.academia.edu/MLisi"><img class="profile-avatar u-positionAbsolute" alt="Matteo Lisi" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/2659418/849585/1056442/s200_matteo.lisi.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://univ-paris5.academia.edu/MLisi">Matteo Lisi</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Université Paris Descartes</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://unipd.academia.edu/MarcoZorzi"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://unipd.academia.edu/MarcoZorzi">Marco Zorzi</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Università degli Studi di Padova</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://cmu.academia.edu/MarleneBehrmann"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://cmu.academia.edu/MarleneBehrmann">Marlene Behrmann</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Carnegie Mellon University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://independent.academia.edu/HyunkyuLee2"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://independent.academia.edu/HyunkyuLee2">Hyunkyu Lee</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://independent.academia.edu/KramerArthur"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://independent.academia.edu/KramerArthur">Arthur Kramer</a></div></div></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Patrick Cavanagh</h3></div><div class="js-work-strip profile--work_container" data-work-id="120015905"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/120015905/Object_Based_Attention"><img alt="Research paper thumbnail of Object-Based Attention" class="work-thumbnail" src="https://attachments.academia-assets.com/115301683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/120015905/Object_Based_Attention">Object-Based Attention</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There appear to be three independent systems for allocating attention: space-based, feature based...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There appear to be three independent systems for allocating attention: space-based, feature based, and object-based. Here, we review the literature of object-based attention to determine its underlying mechanisms. First, findings from unconscious priming and cuing suggest that the pre-attentive targets of object-based attention can be fully developed object representations. Next, the control of object-based attention appears to come from ventral visual areas specialized in object analysis that project downward to early visual areas. Whether feedback from object areas can accurately target the object’s specific locations and features is controversial, but recent work in autoencoding has made this plausible. Finally, we suggest that the three classic modes of attention may not be as independent as is commonly considered, and instead could rely on object-based attention for all three modes of selection. Specifically, studies show that attention can spread over the separated members of ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cf99ef67e0f86cfb801d03eb2f23f4f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115301683,"asset_id":120015905,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115301683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="120015905"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="120015905"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 120015905; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=120015905]").text(description); $(".js-view-count[data-work-id=120015905]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 120015905; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='120015905']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114455568"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114455568/Exploring_the_Frame_Effect"><img alt="Research paper thumbnail of Exploring the Frame Effect" class="work-thumbnail" src="https://attachments.academia-assets.com/111149219/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114455568/Exploring_the_Frame_Effect">Exploring the Frame Effect</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Probes flashed within a moving frame are dramatically displaced (Özkan et al, 2021; Wong &Mack, 1...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Probes flashed within a moving frame are dramatically displaced (Özkan et al, 2021; Wong &Mack, 1981). The effect is much larger than that seen on static or moving probes (induced motion, Duncker, 1929; Wallach et al, 1978). These flashed probes are often perceived with the separation they have in frame coordinates — a 100% effect. Here we explore this frame effect on flashed tests with several versions of the standard stimulus. We find that the frame effect holds for smoothly or abruptly displacing frames, even when the frame changed shape or orientation between the endpoints of its travel. The path could be non-linear, even circular. The effect was driven by perceived not physical motion. When there were competing overlapping frames, the effect was determined by which frame was attended. There were a number of constraints that limited the effect. A static anchor near the flashes suppressed the effect but an extended static texture did not. If the probes were continuous rather than...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7833a064849cce8af512a50e9c583e89" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111149219,"asset_id":114455568,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111149219/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114455568"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114455568"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114455568; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114455568]").text(description); $(".js-view-count[data-work-id=114455568]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114455568; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114455568']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7833a064849cce8af512a50e9c583e89" } } $('.js-work-strip[data-work-id=114455568]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114455568,"title":"Exploring the Frame Effect","internal_url":"https://www.academia.edu/114455568/Exploring_the_Frame_Effect","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":111149219,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111149219/thumbnails/1.jpg","file_name":"2022.02.10.479960.full.pdf","download_url":"https://www.academia.edu/attachments/111149219/download_file","bulk_download_file_name":"Exploring_the_Frame_Effect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111149219/2022.02.10.479960.full-libre.pdf?1707056466=\u0026response-content-disposition=attachment%3B+filename%3DExploring_the_Frame_Effect.pdf\u0026Expires=1739713213\u0026Signature=Xvypv9WGrdaxIc-x4wlHZ6IntH0kyCbr2Y8aZJqltzFGg8A7~ADG7a3SfPp3V1s78Wp5BhX7YikCRVnejxBGLnK0Su~6Ixai-1hZXMBKYxoLuaTRJoYgfQ7AgMi3T~hBiLyWJAa3YrLKTZp48z~ni-K9wGJyfX-LsJKtAbg~y-GoPejMr9M7H5OASVKg9l9KKzCF9nHMUny8pHK17TAKiVzviW0eGphmfFSmDe165b455Y009mkRfir~YuACn3GRARLbSeM-bAHdW~kTM0wT9YqTAGq3HBws909o4yanWhLUZlmh8sHeWTLNG49DKKuurqtw-EUqGVZ1xT36Y1r0fQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="109335932"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/109335932/Pictorial_cues_in_art_and_in_visual_perception"><img alt="Research paper thumbnail of Pictorial cues in art and in visual perception" class="work-thumbnail" src="https://attachments.academia-assets.com/107492605/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/109335932/Pictorial_cues_in_art_and_in_visual_perception">Pictorial cues in art and in visual perception</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Introduction: why do we look at pictures? Artists have been looking at the world for thousands of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Introduction: why do we look at pictures? Artists have been looking at the world for thousands of years, and thus paintings and drawings can be considered to form a  -year-old corpus of experimental psychology of perception. Through observation and trial-and-error they have exploited the principles of how our brains interpret the input from the retina, giving priority to only certain regularities of the visual pattern. Thus, a study of pictorial cues can tell us about the way that the brain recognizes objects, understands spatial depth, and uses illumination information in natural environments. Conversely, a better understanding of visual perception may help to explain the effectiveness of certain techniques used by artists. Therefore this essay will focus on some basic techniques in pictorial depiction that allow blobs of paint or charcoal marks to evoke objects, depth, movement, transparency, illumination, and refl ection. The development of these pictorial techniques by artists can be considered as fundamental discoveries about the neuroscience of perception.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="73d5df364123ed52dab87069e069226c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":107492605,"asset_id":109335932,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/107492605/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="109335932"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="109335932"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 109335932; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=109335932]").text(description); $(".js-view-count[data-work-id=109335932]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 109335932; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='109335932']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "73d5df364123ed52dab87069e069226c" } } $('.js-work-strip[data-work-id=109335932]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":109335932,"title":"Pictorial cues in art and in visual perception","internal_url":"https://www.academia.edu/109335932/Pictorial_cues_in_art_and_in_visual_perception","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":107492605,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/107492605/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/107492605/download_file","bulk_download_file_name":"Pictorial_cues_in_art_and_in_visual_perc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/107492605/download-libre.pdf?1700316834=\u0026response-content-disposition=attachment%3B+filename%3DPictorial_cues_in_art_and_in_visual_perc.pdf\u0026Expires=1739713213\u0026Signature=Ul62XUy4jtM6VHD3NP9yJIG1-etXm7DdCOBnf0GgATd0H9vW7TVB4jKbMiphX04gTtJd8etQiI~2plj7WEaKfULoWZ~803XOga6HYN9M4sG6pSFyKWOruEMvonSvtcA5yPvrDk~hpddURLcjp3ZVyerdK9W6wF0V6RocEH6WZ1tAI9r1tQaDkBu5-SL6NYoYy~zStlHURj56NgtoxQNB4bUkTy-gdvSehUHtG9JMDB3mugYu8gDdczBy9ncsJ--dniqEjfOhQA9RoI6vhF~wlM8T8FRMkE-tP57G5SMhYdCGMJvGWfNpSBvDwK54Eo4sBYoId8d49umwhEhm61-n9w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="106387932"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/106387932/Using_the_Blind_Spot_to_Investigate_Trans_Saccadic_Perception"><img alt="Research paper thumbnail of Using the Blind Spot to Investigate Trans-Saccadic Perception" class="work-thumbnail" src="https://attachments.academia-assets.com/105599260/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/106387932/Using_the_Blind_Spot_to_Investigate_Trans_Saccadic_Perception">Using the Blind Spot to Investigate Trans-Saccadic Perception</a></div><div class="wp-workCard_item"><span>Vision</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We introduce a blind spot method to create image changes contingent on eye movements. One challen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We introduce a blind spot method to create image changes contingent on eye movements. One challenge of eye movement research is triggering display changes contingent on gaze. The eye-tracking system must capture the image of the eye, discover and track the pupil and corneal reflections to estimate the gaze position, and then transfer this data to the computer that updates the display. All of these steps introduce delays that are often difficult to predict. To avoid these issues, we describe a simple blind spot method to generate gaze contingent display manipulations without any eye-tracking system and/or display controls.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="333f1ff4c4d45d78028c17ea86e69533" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105599260,"asset_id":106387932,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105599260/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="106387932"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="106387932"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 106387932; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=106387932]").text(description); $(".js-view-count[data-work-id=106387932]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 106387932; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='106387932']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "333f1ff4c4d45d78028c17ea86e69533" } } $('.js-work-strip[data-work-id=106387932]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":106387932,"title":"Using the Blind Spot to Investigate Trans-Saccadic Perception","internal_url":"https://www.academia.edu/106387932/Using_the_Blind_Spot_to_Investigate_Trans_Saccadic_Perception","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":105599260,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105599260/thumbnails/1.jpg","file_name":"Royoetal.2021.pdf","download_url":"https://www.academia.edu/attachments/105599260/download_file","bulk_download_file_name":"Using_the_Blind_Spot_to_Investigate_Tran.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105599260/Royoetal.2021-libre.pdf?1694173835=\u0026response-content-disposition=attachment%3B+filename%3DUsing_the_Blind_Spot_to_Investigate_Tran.pdf\u0026Expires=1739713213\u0026Signature=RbneNEspNyivGDqB4UB2cKJU2Z4MxFkzr0xLSdxzEk30gyk9FEc78WiDqu7OKMSsUBvj-rIRJwQxLSFxUSySVorYuXf1AH9xaVUA7eT9z7e-ROZU~9MIyrBeW5LYpEDNlUT1uQ9ohK3MyoZyjmbInxO8tHR3PLf3EfhFxPdLfDSXAX8kLTPkRGPqr74486r1QLJjCQUAsxIWp1OQ8vINCNPqsd0tYFJ1Rq3vWEQ491hCiHDf5m9S29pLJcYzQowC2Kvfa9i4ZiMpkz5hWDEh7bkUnyKV6UleICE4xS2Th-MU8Xw626TejHaDsJ-OLBi~a0--m5y5rrbmnlRNZMtE8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="70564325"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/70564325/Tracking_the_time_course_of_processing_spatial_prepositions_using_response_trajectories"><img alt="Research paper thumbnail of Tracking the time course of processing spatial prepositions using response trajectories" class="work-thumbnail" src="https://attachments.academia-assets.com/80264141/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/70564325/Tracking_the_time_course_of_processing_spatial_prepositions_using_response_trajectories">Tracking the time course of processing spatial prepositions using response trajectories</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://umontreal.academia.edu/FlorisvanVugt">Floris van Vugt</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PatrickCavanagh3">Patrick Cavanagh</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">• We used a variant of the Stroop task in which subjects reported whether a spatial preposition w...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">• We used a variant of the Stroop task in which subjects reported whether a spatial preposition word (ABOVE, BELOW) was above or below a cross. The word's position either conflicted or agreed with its meaning (which subjects were instructed to ignore).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a2b965bc3b7f9a41627ea7103c385003" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80264141,"asset_id":70564325,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80264141/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="70564325"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="70564325"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70564325; 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L évolution nous a particulièrement doté de la capacité à percevoir notre environnement visuel comme stable et continu malgré les importants déplacements de ses projections sur nos rétines à chaque fois que nous déplaçons nos yeux, notre tête ou notre corps. Des études chez l animal ont récemment montré que dans certaines aires corticales et sous-corticales, impliquées dans le contrôle attentionnel et dans l élaboration des mouvements oculaires, des neurones sont capables d anticiper les conséquences des futurs mouvements volontaires des yeux sur leurs entrées visuelles. Ces neurones prédisent ce à quoi ressemblera notre environnement visuel en re-cartographiant la position des objets d importance à l endroit qu ils occuperont après l exécution d une saccade. Dans une série d études, nous avons tout d abord démontré que cette re- cartographie pouvait être évaluée de man...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="60267a8457dba3a72e9ea24bbf82bc3d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":92174274,"asset_id":88140933,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/92174274/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="88140933"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="88140933"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 88140933; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423832"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423832/Alls_jazzy_and_unstable_on_the_colour_front_the_impact_of_Gregorys_pioneering_paper_on_vision_at_equiluminance"><img alt="Research paper thumbnail of All's jazzy and unstable on the colour front: the impact of Gregory's pioneering paper on vision at equiluminance" class="work-thumbnail" src="https://attachments.academia-assets.com/83865897/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423832/Alls_jazzy_and_unstable_on_the_colour_front_the_impact_of_Gregorys_pioneering_paper_on_vision_at_equiluminance">All's jazzy and unstable on the colour front: the impact of Gregory's pioneering paper on vision at equiluminance</a></div><div class="wp-workCard_item"><span>Perception</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Reading Richard Gregory's 1977 paper was a turning point in my scientific journey. No, I lie. I n...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Reading Richard Gregory's 1977 paper was a turning point in my scientific journey. No, I lie. I never read the article until much later. My research in 1977 was mostly about memory but in 1979 I attended a SIGGRAPH conference in Chicago where Richard presented his demonstrations of the loss of face recognition with an image having colour but no luminance contrast. The effect was magical and, inspired by Richard's flapping eyebrows, his big smile, and a laugh boasting of the fun of vision research, I abandoned my memory studies, bought all sorts of computer gear to capture the world on video and turn it into pure colour, stuck every imaginable image under the camera and within two days, with the help of Stuart Anstis and Olga Favreau, I was a vision scientist with material for a decade of papers. Thank you Richard, vision research is a fabulous, roller coaster ride of adventure. Memory research is, of course, very, very important, but really so slowly paced in comparison.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="09aa45fdaf0cc907310692393d440787" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":83865897,"asset_id":73423832,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/83865897/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423832"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423832"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423832; 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However, most computer vision systems disregard the cognitive aspects of human perception , thus limiting their applicability in natural environments, whereby small changes in the light conditions cause negative effects on the system&#39;s accuracy. This seminar brought together contributions from Computer Vision, Cognitive Psychology, Philosophy and History of Art in order to discuss the information content in cast shadows which, although currently recognised by psychologists as providing important cues about depth perception, is considered as noise in the computer vision literature. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423819"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423819/The_Language_of_Vision_"><img alt="Research paper thumbnail of The Language of Vision*" class="work-thumbnail" src="https://attachments.academia-assets.com/81950839/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423819/The_Language_of_Vision_">The Language of Vision*</a></div><div class="wp-workCard_item"><span>Perception</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The descriptions of surfaces, objects, and events computed by visual processes are not solely for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The descriptions of surfaces, objects, and events computed by visual processes are not solely for consumption in the visual system but are meant to be passed on to other brain centers. Clearly, the description of the visual scene cannot be sent in its entirety, like a picture or movie, to other centers, as that would require that each of them have their own visual system to decode the description. Some very compressed, annotated, or labeled version must be constructed that can be passed on in a format that other centers—memory, language, planning—can understand. If this is a “visual language,” what is its grammar? In a first pass, we see, among other things, differences in processing of visual “nouns,” visual “verbs,” and visual “prepositions.” Then we look at recursion and errors of visual grammar. Finally, the possibility of a visual language also raises the question of the acquisition of its grammar from the visual environment and the chance that this acquisition process was borr...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="66e15547f83c6359bdc0f563a9bdcca6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950839,"asset_id":73423819,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950839/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423819"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423819"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423819; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423819]").text(description); $(".js-view-count[data-work-id=73423819]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423819; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423819']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423816"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423816/Scaling_depth_from_shadow_offset"><img alt="Research paper thumbnail of Scaling depth from shadow offset" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423816/Scaling_depth_from_shadow_offset">Scaling depth from shadow offset</a></div><div class="wp-workCard_item"><span>Journal of Vision</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423816"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423816"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423816; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423816]").text(description); $(".js-view-count[data-work-id=73423816]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423816; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423816']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423816]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423816,"title":"Scaling depth from shadow offset","internal_url":"https://www.academia.edu/73423816/Scaling_depth_from_shadow_offset","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423815"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423815/Paradoxical_stabilization_of_relative_position_in_moving_frames"><img alt="Research paper thumbnail of Paradoxical stabilization of relative position in moving frames" class="work-thumbnail" src="https://attachments.academia-assets.com/81950798/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423815/Paradoxical_stabilization_of_relative_position_in_moving_frames">Paradoxical stabilization of relative position in moving frames</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To capture where things are and what they are doing, the visual system may extract the position a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To capture where things are and what they are doing, the visual system may extract the position and motion of each object relative to its surrounding frame of referencee.g., 1,2. Here we report a particularly powerful example where a paradoxical stabilization is produced by a moving frame. We first take a frame that moves left and right and we flash its right edge before, and its left edge after, the frame’s motion. For all frame displacements tested, the two edges are perceived as stabilized, with the left edge on the left and right edge on the right, separated by the frame’s width as if the frame were not moving. This illusory stabilization holds even when the frame travels farther than its width, reversing the actual spatial order of the two flashes. Despite this stabilization, the motion of the frame is still seen, albeit much reduced, and this hides the paradoxical standstill of relative positions. In a second experiment, two probes are flashed inside the frame at the same phys...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6c2d6f4bd4376c979c90b92dc33be31f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950798,"asset_id":73423815,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950798/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423815"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423815"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423815; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423814"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423814/The_Message_in_the_Shadow_noise_or_knowledge_Dagstuhl_Seminar_15192_"><img alt="Research paper thumbnail of The Message in the Shadow: noise or knowledge? (Dagstuhl Seminar 15192)" class="work-thumbnail" src="https://attachments.academia-assets.com/81950838/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423814/The_Message_in_the_Shadow_noise_or_knowledge_Dagstuhl_Seminar_15192_">The Message in the Shadow: noise or knowledge? (Dagstuhl Seminar 15192)</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Computer vision, besides being a key area in Computer Science, is present in various industrial a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Computer vision, besides being a key area in Computer Science, is present in various industrial applications, such as traffic sign recognition (including car license plates), face and gesture recognition, content-based image retrieval, remote sensing, cartography, radar sensing, and robot mapping. However, most computer vision systems disregard the cognitive aspects of human perception, thus limiting their applicability in natural environments, whereby small changes in the light conditions cause negative effects on the system&#39;s accuracy. This seminar brought together contributions from Computer Vision, Cognitive Psychology, Philosophy and History of Art in order to discuss the information content in cast shadows which, although currently recognised by psychologists as providing important cues about depth perception, is considered as noise in the computer vision literature.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8eab84499acd52cb6404aa3a6fc0e823" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950838,"asset_id":73423814,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950838/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423814"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423814"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423814; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423814]").text(description); $(".js-view-count[data-work-id=73423814]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423814; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423814']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8eab84499acd52cb6404aa3a6fc0e823" } } $('.js-work-strip[data-work-id=73423814]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423814,"title":"The Message in the Shadow: noise or knowledge? (Dagstuhl Seminar 15192)","internal_url":"https://www.academia.edu/73423814/The_Message_in_the_Shadow_noise_or_knowledge_Dagstuhl_Seminar_15192_","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":81950838,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81950838/thumbnails/1.jpg","file_name":"dagrep_v005_i005_p024_s15192.pdf","download_url":"https://www.academia.edu/attachments/81950838/download_file","bulk_download_file_name":"The_Message_in_the_Shadow_noise_or_knowl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81950838/dagrep_v005_i005_p024_s15192-libre.pdf?1646859958=\u0026response-content-disposition=attachment%3B+filename%3DThe_Message_in_the_Shadow_noise_or_knowl.pdf\u0026Expires=1739713214\u0026Signature=WJeUf1DBqBKURhhm-8SZDm7wt1gfqQn~C9s89kjn3OB-MqU-YpJNhsNfyRFvu6m5s7xEiur~IleD~sEZHQeIc8d1GCRy2wA5oTyJyx-yQe~v0fF-gCj22sJgzYM7yPl7AXZcXZLgJInbNDP3Wq44U0O7ZltzrMBYWizcvKZgSAp3Frec2bWcwx4H8T9jvFNEzfpveylnieho1oaNlFGmLfN3nGXAcgnNBbT8mQfs0ZzMj4ClJXSERW27Yabkf4Fun-uhnB3BJsUwsJcDGBV1wk8P-6BNMQn0YaHAg5rUIOYqaF8fDZw~pr60LkgbTNT4ZaApRNi7fstRTLGrnmIgsg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423813"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423813/Smooth_pursuit_operates_over_perceived_not_physical_positions_of_the_double_drift_stimulus"><img alt="Research paper thumbnail of Smooth pursuit operates over perceived not physical positions of the double-drift stimulus" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423813/Smooth_pursuit_operates_over_perceived_not_physical_positions_of_the_double_drift_stimulus">Smooth pursuit operates over perceived not physical positions of the double-drift stimulus</a></div><div class="wp-workCard_item"><span>Journal of Vision</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The double-drift illusion produces a large deviation in perceived direction that strongly dissoci...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The double-drift illusion produces a large deviation in perceived direction that strongly dissociates physical position from perceived position. Surprisingly, saccades do not seem to be affected by the illusion (Lisi &amp; Cavanagh, 2015). When targeting a double-drift stimulus, the saccade system is driven by retinal rather than perceived position. Here, using paired double-drift targets, we test whether the smooth pursuit system is driven by perceived or physical position. Participants (n = 7) smoothly pursued the inferred midpoint (Steinbach, 1976) between two horizontally aligned Gabor patches that were separated by 20° and moving on parallel, oblique paths. On the first half of each trial, the Gabors’ internal textures were static while both drifted obliquely downward. On the second half of each trial, while the envelope moved obliquely upward, the internal texture drifted orthogonally to the envelope&#39;s motion, producing a large perceived deviation from the downward path even though the upward and downward trajectories always followed the same physical path but in opposite directions. We find that smooth pursuit eye movements accurately followed the nonillusory downward path of the midpoint between the two Gabors, but then followed the illusory rather than the physical trajectory on the upward return. Thus, virtual targets for smooth pursuit are derived from perceived rather than retinal coordinates.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423813"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423813"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423813; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423813]").text(description); $(".js-view-count[data-work-id=73423813]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423813; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423813']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423813]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423813,"title":"Smooth pursuit operates over perceived not physical positions of the double-drift stimulus","internal_url":"https://www.academia.edu/73423813/Smooth_pursuit_operates_over_perceived_not_physical_positions_of_the_double_drift_stimulus","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423812"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423812/The_vector_combination_underlying_the_double_drift_illusion_is_based_on_motion_in_world_coordinates_Evidence_from_smooth_pursuit"><img alt="Research paper thumbnail of The vector combination underlying the double-drift illusion is based on motion in world coordinates: Evidence from smooth pursuit" class="work-thumbnail" src="https://attachments.academia-assets.com/81950836/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423812/The_vector_combination_underlying_the_double_drift_illusion_is_based_on_motion_in_world_coordinates_Evidence_from_smooth_pursuit">The vector combination underlying the double-drift illusion is based on motion in world coordinates: Evidence from smooth pursuit</a></div><div class="wp-workCard_item"><span>Journal of Vision</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">If a Gabor pattern drifts in one direction while its internal texture drifts in the orthogonal di...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">If a Gabor pattern drifts in one direction while its internal texture drifts in the orthogonal direction, its perceived direction deviates strongly from its true direction and is instead some combination of its real external motion and its internal motion (Tse & Hsieh, 2006). In the first experiment, we confirm that, for the stimuli used in our experiment, the direction shifts on a gray background were explained by a vector combination of the internal and external motions whereas for the Gabor on a black background, we find no illusory shifts. These results suggest that the internal motion contributes to the perceived direction but only when the Gabor's positional uncertainty is high. Next, we test whether the vector combination is based on motions on the retina or motions in the world. When participants track a fixation point that moves in tandem with the Gabor, keeping it roughly stable on the retina, the illusion is undiminished. This finding indicates that the vector combination of internal and external motion that produces the double-drift illusion must happen after the eye movement signals have been factored into the stimulus motions to recover motions in the world, in particular, in areas V3A, V6, MSTd, and VIP.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e93849d75d5e59043e273f1af4c3a985" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950836,"asset_id":73423812,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950836/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423812"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423812"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423812; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423812]").text(description); $(".js-view-count[data-work-id=73423812]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423812; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423812']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423811"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423811/Attentional_facilitation_of_detection_of_flicker_on_moving_objects"><img alt="Research paper thumbnail of Attentional facilitation of detection of flicker on moving objects" class="work-thumbnail" src="https://attachments.academia-assets.com/81950837/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423811/Attentional_facilitation_of_detection_of_flicker_on_moving_objects">Attentional facilitation of detection of flicker on moving objects</a></div><div class="wp-workCard_item"><span>Journal of Vision</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigated the influence of attention and motion on the sensitivity of flicker detection for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigated the influence of attention and motion on the sensitivity of flicker detection for a target among distractors. Experiment 1 showed that when the target and distractors were moving, detection performance plummeted compared to when they were not moving, suggesting that the most sensitive detectors were local, temporal frequency-tuned receptive fields. With the stimuli in motion, a qualitatively different strategy was required and this led to much reduced performance. Cueing, which specified the target location with 100% validity, had no effect for targets that had little or no motion, suggesting that the flicker was sufficiently salient in this case to attract attention to the target without requiring any search. For targets with medium to high speeds, however, cueing provided a strong increase in sensitivity over uncued performance. This suggests a significant advantage for localizing and tracking the target and so sampling the luminance changes from only one trajectory. Experiment 2 showed that effect of attention was to increase the efficiency and duration of signal integration for the moving target. Overall, the results show that flicker sensitivity for a moving target relies on a much less efficient process than detection of static flicker, and that this less efficient process is facilitated when attention can select the relevant trajectory and ignore the others.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="88f80da69ec8ea0d2269dc82f7ba212f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950837,"asset_id":73423811,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950837/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423811"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423811"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423811; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423811]").text(description); $(".js-view-count[data-work-id=73423811]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423811; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423811']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "88f80da69ec8ea0d2269dc82f7ba212f" } } $('.js-work-strip[data-work-id=73423811]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423811,"title":"Attentional facilitation of detection of flicker on moving objects","internal_url":"https://www.academia.edu/73423811/Attentional_facilitation_of_detection_of_flicker_on_moving_objects","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":81950837,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81950837/thumbnails/1.jpg","file_name":"i1534-7362-15-14-3.pdf","download_url":"https://www.academia.edu/attachments/81950837/download_file","bulk_download_file_name":"Attentional_facilitation_of_detection_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81950837/i1534-7362-15-14-3-libre.pdf?1646859956=\u0026response-content-disposition=attachment%3B+filename%3DAttentional_facilitation_of_detection_of.pdf\u0026Expires=1739713214\u0026Signature=KVf5TWQTe11UFjPDGPXNZL4ZKqF4TplsO8U~mfp4jXgyK~w9DY0xEI8Ay86zdKEkQ6WJ1ArlZoWp781aCZMpwQtnt9Bt9Nr15Tq~rktVYM91CTtfquPUptXdodh0R-ZTVmCE8jpZ0Le1yHD-AK4AXszpW7-V6Gs65gf7A90li7ARJ7eCS5gHu76wNtHwMRhFLsNohjnVKemnhBpc1jYggxopXL9L7hdo~RpeDof497nG5ttvPbqsAl4guSWGpYZUSiiLPJj8d~yRq85Rb3w~CRFJj95-J-KVhi6SvfovaYMY-zDJhSS2zWJSBQbJOowSyOCFhC7SzlqJgG3AljMWqQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423810"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423810/MovieS2"><img alt="Research paper thumbnail of MovieS2" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423810/MovieS2">MovieS2</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423810"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423810"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423810; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423810]").text(description); $(".js-view-count[data-work-id=73423810]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423810; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423810']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423810]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423810,"title":"MovieS2","internal_url":"https://www.academia.edu/73423810/MovieS2","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423809"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423809/Drawing_experts_have_better_visual_memory_while_drawing"><img alt="Research paper thumbnail of Drawing experts have better visual memory while drawing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423809/Drawing_experts_have_better_visual_memory_while_drawing">Drawing experts have better visual memory while drawing</a></div><div class="wp-workCard_item"><span>Journal of vision</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Drawing involves frequent shifts of gaze between the original and the drawing and visual memory h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Drawing involves frequent shifts of gaze between the original and the drawing and visual memory helps compare the original object and the drawing across these gaze shifts while creating and correcting the drawing. It remains unclear whether this memory encodes all of the object or only the features around the current drawing position and whether both the original and the copy are equally well represented. To address these questions, we designed a &quot;drawing&quot; experiment coupled with a change detection task. A polygon was displayed on one screen and participants had to copy it on another, with the original and the drawing presented in alternation. At unpredictable moments during the copying process, modifications were made on the drawing and the original figure (while they were not in view). Participants had to correct their drawing every time they perceived a change so that their drawing always matched the current original figure. Our results show a better memory representati...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423809"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423809"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423809; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423809]").text(description); $(".js-view-count[data-work-id=73423809]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423809; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423809']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423809]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423809,"title":"Drawing experts have better visual memory while drawing","internal_url":"https://www.academia.edu/73423809/Drawing_experts_have_better_visual_memory_while_drawing","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="11096963" id="papers"><div class="js-work-strip profile--work_container" data-work-id="120015905"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/120015905/Object_Based_Attention"><img alt="Research paper thumbnail of Object-Based Attention" class="work-thumbnail" src="https://attachments.academia-assets.com/115301683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/120015905/Object_Based_Attention">Object-Based Attention</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There appear to be three independent systems for allocating attention: space-based, feature based...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There appear to be three independent systems for allocating attention: space-based, feature based, and object-based. Here, we review the literature of object-based attention to determine its underlying mechanisms. First, findings from unconscious priming and cuing suggest that the pre-attentive targets of object-based attention can be fully developed object representations. Next, the control of object-based attention appears to come from ventral visual areas specialized in object analysis that project downward to early visual areas. Whether feedback from object areas can accurately target the object’s specific locations and features is controversial, but recent work in autoencoding has made this plausible. Finally, we suggest that the three classic modes of attention may not be as independent as is commonly considered, and instead could rely on object-based attention for all three modes of selection. Specifically, studies show that attention can spread over the separated members of ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cf99ef67e0f86cfb801d03eb2f23f4f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115301683,"asset_id":120015905,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115301683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="120015905"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="120015905"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 120015905; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=120015905]").text(description); $(".js-view-count[data-work-id=120015905]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 120015905; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='120015905']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="114455568"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/114455568/Exploring_the_Frame_Effect"><img alt="Research paper thumbnail of Exploring the Frame Effect" class="work-thumbnail" src="https://attachments.academia-assets.com/111149219/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/114455568/Exploring_the_Frame_Effect">Exploring the Frame Effect</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Probes flashed within a moving frame are dramatically displaced (Özkan et al, 2021; Wong &Mack, 1...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Probes flashed within a moving frame are dramatically displaced (Özkan et al, 2021; Wong &Mack, 1981). The effect is much larger than that seen on static or moving probes (induced motion, Duncker, 1929; Wallach et al, 1978). These flashed probes are often perceived with the separation they have in frame coordinates — a 100% effect. Here we explore this frame effect on flashed tests with several versions of the standard stimulus. We find that the frame effect holds for smoothly or abruptly displacing frames, even when the frame changed shape or orientation between the endpoints of its travel. The path could be non-linear, even circular. The effect was driven by perceived not physical motion. When there were competing overlapping frames, the effect was determined by which frame was attended. There were a number of constraints that limited the effect. A static anchor near the flashes suppressed the effect but an extended static texture did not. If the probes were continuous rather than...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7833a064849cce8af512a50e9c583e89" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111149219,"asset_id":114455568,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111149219/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="114455568"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="114455568"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 114455568; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=114455568]").text(description); $(".js-view-count[data-work-id=114455568]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 114455568; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='114455568']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7833a064849cce8af512a50e9c583e89" } } $('.js-work-strip[data-work-id=114455568]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":114455568,"title":"Exploring the Frame Effect","internal_url":"https://www.academia.edu/114455568/Exploring_the_Frame_Effect","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":111149219,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111149219/thumbnails/1.jpg","file_name":"2022.02.10.479960.full.pdf","download_url":"https://www.academia.edu/attachments/111149219/download_file","bulk_download_file_name":"Exploring_the_Frame_Effect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111149219/2022.02.10.479960.full-libre.pdf?1707056466=\u0026response-content-disposition=attachment%3B+filename%3DExploring_the_Frame_Effect.pdf\u0026Expires=1739713213\u0026Signature=Xvypv9WGrdaxIc-x4wlHZ6IntH0kyCbr2Y8aZJqltzFGg8A7~ADG7a3SfPp3V1s78Wp5BhX7YikCRVnejxBGLnK0Su~6Ixai-1hZXMBKYxoLuaTRJoYgfQ7AgMi3T~hBiLyWJAa3YrLKTZp48z~ni-K9wGJyfX-LsJKtAbg~y-GoPejMr9M7H5OASVKg9l9KKzCF9nHMUny8pHK17TAKiVzviW0eGphmfFSmDe165b455Y009mkRfir~YuACn3GRARLbSeM-bAHdW~kTM0wT9YqTAGq3HBws909o4yanWhLUZlmh8sHeWTLNG49DKKuurqtw-EUqGVZ1xT36Y1r0fQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="109335932"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/109335932/Pictorial_cues_in_art_and_in_visual_perception"><img alt="Research paper thumbnail of Pictorial cues in art and in visual perception" class="work-thumbnail" src="https://attachments.academia-assets.com/107492605/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/109335932/Pictorial_cues_in_art_and_in_visual_perception">Pictorial cues in art and in visual perception</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Introduction: why do we look at pictures? Artists have been looking at the world for thousands of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Introduction: why do we look at pictures? Artists have been looking at the world for thousands of years, and thus paintings and drawings can be considered to form a  -year-old corpus of experimental psychology of perception. Through observation and trial-and-error they have exploited the principles of how our brains interpret the input from the retina, giving priority to only certain regularities of the visual pattern. Thus, a study of pictorial cues can tell us about the way that the brain recognizes objects, understands spatial depth, and uses illumination information in natural environments. Conversely, a better understanding of visual perception may help to explain the effectiveness of certain techniques used by artists. Therefore this essay will focus on some basic techniques in pictorial depiction that allow blobs of paint or charcoal marks to evoke objects, depth, movement, transparency, illumination, and refl ection. The development of these pictorial techniques by artists can be considered as fundamental discoveries about the neuroscience of perception.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="73d5df364123ed52dab87069e069226c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":107492605,"asset_id":109335932,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/107492605/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="109335932"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="109335932"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 109335932; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=109335932]").text(description); $(".js-view-count[data-work-id=109335932]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 109335932; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='109335932']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "73d5df364123ed52dab87069e069226c" } } $('.js-work-strip[data-work-id=109335932]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":109335932,"title":"Pictorial cues in art and in visual perception","internal_url":"https://www.academia.edu/109335932/Pictorial_cues_in_art_and_in_visual_perception","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":107492605,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/107492605/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/107492605/download_file","bulk_download_file_name":"Pictorial_cues_in_art_and_in_visual_perc.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/107492605/download-libre.pdf?1700316834=\u0026response-content-disposition=attachment%3B+filename%3DPictorial_cues_in_art_and_in_visual_perc.pdf\u0026Expires=1739713213\u0026Signature=Ul62XUy4jtM6VHD3NP9yJIG1-etXm7DdCOBnf0GgATd0H9vW7TVB4jKbMiphX04gTtJd8etQiI~2plj7WEaKfULoWZ~803XOga6HYN9M4sG6pSFyKWOruEMvonSvtcA5yPvrDk~hpddURLcjp3ZVyerdK9W6wF0V6RocEH6WZ1tAI9r1tQaDkBu5-SL6NYoYy~zStlHURj56NgtoxQNB4bUkTy-gdvSehUHtG9JMDB3mugYu8gDdczBy9ncsJ--dniqEjfOhQA9RoI6vhF~wlM8T8FRMkE-tP57G5SMhYdCGMJvGWfNpSBvDwK54Eo4sBYoId8d49umwhEhm61-n9w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="106387932"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/106387932/Using_the_Blind_Spot_to_Investigate_Trans_Saccadic_Perception"><img alt="Research paper thumbnail of Using the Blind Spot to Investigate Trans-Saccadic Perception" class="work-thumbnail" src="https://attachments.academia-assets.com/105599260/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/106387932/Using_the_Blind_Spot_to_Investigate_Trans_Saccadic_Perception">Using the Blind Spot to Investigate Trans-Saccadic Perception</a></div><div class="wp-workCard_item"><span>Vision</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We introduce a blind spot method to create image changes contingent on eye movements. One challen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We introduce a blind spot method to create image changes contingent on eye movements. One challenge of eye movement research is triggering display changes contingent on gaze. The eye-tracking system must capture the image of the eye, discover and track the pupil and corneal reflections to estimate the gaze position, and then transfer this data to the computer that updates the display. All of these steps introduce delays that are often difficult to predict. To avoid these issues, we describe a simple blind spot method to generate gaze contingent display manipulations without any eye-tracking system and/or display controls.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="333f1ff4c4d45d78028c17ea86e69533" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105599260,"asset_id":106387932,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105599260/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="106387932"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="106387932"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 106387932; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="70564325"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/70564325/Tracking_the_time_course_of_processing_spatial_prepositions_using_response_trajectories"><img alt="Research paper thumbnail of Tracking the time course of processing spatial prepositions using response trajectories" class="work-thumbnail" src="https://attachments.academia-assets.com/80264141/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/70564325/Tracking_the_time_course_of_processing_spatial_prepositions_using_response_trajectories">Tracking the time course of processing spatial prepositions using response trajectories</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://umontreal.academia.edu/FlorisvanVugt">Floris van Vugt</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PatrickCavanagh3">Patrick Cavanagh</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">• We used a variant of the Stroop task in which subjects reported whether a spatial preposition w...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">• We used a variant of the Stroop task in which subjects reported whether a spatial preposition word (ABOVE, BELOW) was above or below a cross. The word's position either conflicted or agreed with its meaning (which subjects were instructed to ignore).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a2b965bc3b7f9a41627ea7103c385003" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":80264141,"asset_id":70564325,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/80264141/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="70564325"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="70564325"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70564325; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="88140933"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/88140933/Le_r%C3%A9tablissement_des_positions_d_un_objet_dans_l_espace_%C3%A0_travers_des_mouvements_des_yeux_et_de_la_t%C3%AAte"><img alt="Research paper thumbnail of Le rétablissement des positions d un objet dans l espace à travers des mouvements des yeux et de la tête" class="work-thumbnail" src="https://attachments.academia-assets.com/92174274/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/88140933/Le_r%C3%A9tablissement_des_positions_d_un_objet_dans_l_espace_%C3%A0_travers_des_mouvements_des_yeux_et_de_la_t%C3%AAte">Le rétablissement des positions d un objet dans l espace à travers des mouvements des yeux et de la tête</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Le système visuel a évolué de manière à prendre en compte les conséquences de nos mouvements sur ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Le système visuel a évolué de manière à prendre en compte les conséquences de nos mouvements sur notre perception. L évolution nous a particulièrement doté de la capacité à percevoir notre environnement visuel comme stable et continu malgré les importants déplacements de ses projections sur nos rétines à chaque fois que nous déplaçons nos yeux, notre tête ou notre corps. Des études chez l animal ont récemment montré que dans certaines aires corticales et sous-corticales, impliquées dans le contrôle attentionnel et dans l élaboration des mouvements oculaires, des neurones sont capables d anticiper les conséquences des futurs mouvements volontaires des yeux sur leurs entrées visuelles. Ces neurones prédisent ce à quoi ressemblera notre environnement visuel en re-cartographiant la position des objets d importance à l endroit qu ils occuperont après l exécution d une saccade. Dans une série d études, nous avons tout d abord démontré que cette re- cartographie pouvait être évaluée de man...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="60267a8457dba3a72e9ea24bbf82bc3d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":92174274,"asset_id":88140933,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/92174274/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="88140933"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="88140933"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 88140933; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423832"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423832/Alls_jazzy_and_unstable_on_the_colour_front_the_impact_of_Gregorys_pioneering_paper_on_vision_at_equiluminance"><img alt="Research paper thumbnail of All's jazzy and unstable on the colour front: the impact of Gregory's pioneering paper on vision at equiluminance" class="work-thumbnail" src="https://attachments.academia-assets.com/83865897/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423832/Alls_jazzy_and_unstable_on_the_colour_front_the_impact_of_Gregorys_pioneering_paper_on_vision_at_equiluminance">All's jazzy and unstable on the colour front: the impact of Gregory's pioneering paper on vision at equiluminance</a></div><div class="wp-workCard_item"><span>Perception</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Reading Richard Gregory's 1977 paper was a turning point in my scientific journey. No, I lie. I n...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Reading Richard Gregory's 1977 paper was a turning point in my scientific journey. No, I lie. I never read the article until much later. My research in 1977 was mostly about memory but in 1979 I attended a SIGGRAPH conference in Chicago where Richard presented his demonstrations of the loss of face recognition with an image having colour but no luminance contrast. The effect was magical and, inspired by Richard's flapping eyebrows, his big smile, and a laugh boasting of the fun of vision research, I abandoned my memory studies, bought all sorts of computer gear to capture the world on video and turn it into pure colour, stuck every imaginable image under the camera and within two days, with the help of Stuart Anstis and Olga Favreau, I was a vision scientist with material for a decade of papers. Thank you Richard, vision research is a fabulous, roller coaster ride of adventure. Memory research is, of course, very, very important, but really so slowly paced in comparison.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="09aa45fdaf0cc907310692393d440787" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":83865897,"asset_id":73423832,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/83865897/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423832"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423832"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423832; 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However, most computer vision systems disregard the cognitive aspects of human perception , thus limiting their applicability in natural environments, whereby small changes in the light conditions cause negative effects on the system&#39;s accuracy. This seminar brought together contributions from Computer Vision, Cognitive Psychology, Philosophy and History of Art in order to discuss the information content in cast shadows which, although currently recognised by psychologists as providing important cues about depth perception, is considered as noise in the computer vision literature. Seminar May 3-8, 2015-<a href="http://www.dagstuhl.de/15192" rel="nofollow">http://www.dagstuhl.de/15192</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2c8aefe99133cfc4c7c77dbf736716ab" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950803,"asset_id":73423829,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950803/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423829"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423829"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423829; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423819"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423819/The_Language_of_Vision_"><img alt="Research paper thumbnail of The Language of Vision*" class="work-thumbnail" src="https://attachments.academia-assets.com/81950839/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423819/The_Language_of_Vision_">The Language of Vision*</a></div><div class="wp-workCard_item"><span>Perception</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The descriptions of surfaces, objects, and events computed by visual processes are not solely for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The descriptions of surfaces, objects, and events computed by visual processes are not solely for consumption in the visual system but are meant to be passed on to other brain centers. Clearly, the description of the visual scene cannot be sent in its entirety, like a picture or movie, to other centers, as that would require that each of them have their own visual system to decode the description. Some very compressed, annotated, or labeled version must be constructed that can be passed on in a format that other centers—memory, language, planning—can understand. If this is a “visual language,” what is its grammar? In a first pass, we see, among other things, differences in processing of visual “nouns,” visual “verbs,” and visual “prepositions.” Then we look at recursion and errors of visual grammar. Finally, the possibility of a visual language also raises the question of the acquisition of its grammar from the visual environment and the chance that this acquisition process was borr...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="66e15547f83c6359bdc0f563a9bdcca6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950839,"asset_id":73423819,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950839/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423819"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423819"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423819; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423816"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423816/Scaling_depth_from_shadow_offset"><img alt="Research paper thumbnail of Scaling depth from shadow offset" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423816/Scaling_depth_from_shadow_offset">Scaling depth from shadow offset</a></div><div class="wp-workCard_item"><span>Journal of Vision</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423816"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423816"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423816; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423816]").text(description); $(".js-view-count[data-work-id=73423816]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423816; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423816']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423816]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423816,"title":"Scaling depth from shadow offset","internal_url":"https://www.academia.edu/73423816/Scaling_depth_from_shadow_offset","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423815"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423815/Paradoxical_stabilization_of_relative_position_in_moving_frames"><img alt="Research paper thumbnail of Paradoxical stabilization of relative position in moving frames" class="work-thumbnail" src="https://attachments.academia-assets.com/81950798/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423815/Paradoxical_stabilization_of_relative_position_in_moving_frames">Paradoxical stabilization of relative position in moving frames</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To capture where things are and what they are doing, the visual system may extract the position a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To capture where things are and what they are doing, the visual system may extract the position and motion of each object relative to its surrounding frame of referencee.g., 1,2. Here we report a particularly powerful example where a paradoxical stabilization is produced by a moving frame. We first take a frame that moves left and right and we flash its right edge before, and its left edge after, the frame’s motion. For all frame displacements tested, the two edges are perceived as stabilized, with the left edge on the left and right edge on the right, separated by the frame’s width as if the frame were not moving. This illusory stabilization holds even when the frame travels farther than its width, reversing the actual spatial order of the two flashes. Despite this stabilization, the motion of the frame is still seen, albeit much reduced, and this hides the paradoxical standstill of relative positions. In a second experiment, two probes are flashed inside the frame at the same phys...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6c2d6f4bd4376c979c90b92dc33be31f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950798,"asset_id":73423815,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950798/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423815"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423815"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423815; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423815]").text(description); $(".js-view-count[data-work-id=73423815]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423815; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423815']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6c2d6f4bd4376c979c90b92dc33be31f" } } $('.js-work-strip[data-work-id=73423815]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423815,"title":"Paradoxical stabilization of relative position in moving frames","internal_url":"https://www.academia.edu/73423815/Paradoxical_stabilization_of_relative_position_in_moving_frames","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":81950798,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81950798/thumbnails/1.jpg","file_name":"2021.01.23.427924v2.full.pdf","download_url":"https://www.academia.edu/attachments/81950798/download_file","bulk_download_file_name":"Paradoxical_stabilization_of_relative_po.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81950798/2021.01.23.427924v2.full-libre.pdf?1646859970=\u0026response-content-disposition=attachment%3B+filename%3DParadoxical_stabilization_of_relative_po.pdf\u0026Expires=1739713214\u0026Signature=I0MFHLxbh5rw1Ku2pR78urr5qDePwl3fJeWDIU3AydGh76ic7C-syZz05~uf4fFtiT2U95uRCSUVWCnHYOzFmL~ECf1wsIjYdifVdl3auV7q-QkOJwEh9QKi7HhGmYBvY~QC-NCdmvasUQ0gGdp2UYzKr4f5cupgtEry4MXJCateWvXasKHXVijnghe1y5SrJLsGeJbfnciPHygd8bb9xdb0yWRA4K-wJJR38IBseiXhLlhBijqVRSeErzmfgCcHl7QtAEd~xtFdlZxTuEARDVpRS65DRkrv7FlJV5C1~dlE2pCS5~~LJk3pL5LLPOGliQyGHDtNmDoa5a3T~xdrsQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":81950799,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81950799/thumbnails/1.jpg","file_name":"2021.01.23.427924v2.full.pdf","download_url":"https://www.academia.edu/attachments/81950799/download_file","bulk_download_file_name":"Paradoxical_stabilization_of_relative_po.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81950799/2021.01.23.427924v2.full-libre.pdf?1646859971=\u0026response-content-disposition=attachment%3B+filename%3DParadoxical_stabilization_of_relative_po.pdf\u0026Expires=1739713214\u0026Signature=hC-FYQ-PJMTie12M4ALS7BEeUfJymtpTIEQz1m28GH9IxBMB7x2oIhJBcTKMtvOLyfMSByTgBIFa~FoDDtPX-K9Jrvsa8CE37NxEmqGGPLUkENiOeguL~hzzyHiG2tR1eis179pqHKarZs0VD-2KN-JUPt1dtjHNz4IODwpw9kYx-RqkFmLmJaO1rHMtCvmG040giVpbMP~JWPZdPT8NNj4omcUbc3RJ5x11z~pBpd4L-X81Ddfm9xGF~fOe~2rGlU0Lbimj6~Kuohx9KGsyEAUflvKQS1-bfNsaM622xnujNaG-cvajFdCwCfeCYluXixpF3FoqXkIkBttO98Ov6w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423814"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423814/The_Message_in_the_Shadow_noise_or_knowledge_Dagstuhl_Seminar_15192_"><img alt="Research paper thumbnail of The Message in the Shadow: noise or knowledge? (Dagstuhl Seminar 15192)" class="work-thumbnail" src="https://attachments.academia-assets.com/81950838/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423814/The_Message_in_the_Shadow_noise_or_knowledge_Dagstuhl_Seminar_15192_">The Message in the Shadow: noise or knowledge? (Dagstuhl Seminar 15192)</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Computer vision, besides being a key area in Computer Science, is present in various industrial a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Computer vision, besides being a key area in Computer Science, is present in various industrial applications, such as traffic sign recognition (including car license plates), face and gesture recognition, content-based image retrieval, remote sensing, cartography, radar sensing, and robot mapping. However, most computer vision systems disregard the cognitive aspects of human perception, thus limiting their applicability in natural environments, whereby small changes in the light conditions cause negative effects on the system&#39;s accuracy. This seminar brought together contributions from Computer Vision, Cognitive Psychology, Philosophy and History of Art in order to discuss the information content in cast shadows which, although currently recognised by psychologists as providing important cues about depth perception, is considered as noise in the computer vision literature.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8eab84499acd52cb6404aa3a6fc0e823" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950838,"asset_id":73423814,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950838/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423814"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423814"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423814; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423814]").text(description); $(".js-view-count[data-work-id=73423814]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423814; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423814']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8eab84499acd52cb6404aa3a6fc0e823" } } $('.js-work-strip[data-work-id=73423814]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423814,"title":"The Message in the Shadow: noise or knowledge? (Dagstuhl Seminar 15192)","internal_url":"https://www.academia.edu/73423814/The_Message_in_the_Shadow_noise_or_knowledge_Dagstuhl_Seminar_15192_","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":81950838,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81950838/thumbnails/1.jpg","file_name":"dagrep_v005_i005_p024_s15192.pdf","download_url":"https://www.academia.edu/attachments/81950838/download_file","bulk_download_file_name":"The_Message_in_the_Shadow_noise_or_knowl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81950838/dagrep_v005_i005_p024_s15192-libre.pdf?1646859958=\u0026response-content-disposition=attachment%3B+filename%3DThe_Message_in_the_Shadow_noise_or_knowl.pdf\u0026Expires=1739713214\u0026Signature=WJeUf1DBqBKURhhm-8SZDm7wt1gfqQn~C9s89kjn3OB-MqU-YpJNhsNfyRFvu6m5s7xEiur~IleD~sEZHQeIc8d1GCRy2wA5oTyJyx-yQe~v0fF-gCj22sJgzYM7yPl7AXZcXZLgJInbNDP3Wq44U0O7ZltzrMBYWizcvKZgSAp3Frec2bWcwx4H8T9jvFNEzfpveylnieho1oaNlFGmLfN3nGXAcgnNBbT8mQfs0ZzMj4ClJXSERW27Yabkf4Fun-uhnB3BJsUwsJcDGBV1wk8P-6BNMQn0YaHAg5rUIOYqaF8fDZw~pr60LkgbTNT4ZaApRNi7fstRTLGrnmIgsg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423813"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423813/Smooth_pursuit_operates_over_perceived_not_physical_positions_of_the_double_drift_stimulus"><img alt="Research paper thumbnail of Smooth pursuit operates over perceived not physical positions of the double-drift stimulus" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423813/Smooth_pursuit_operates_over_perceived_not_physical_positions_of_the_double_drift_stimulus">Smooth pursuit operates over perceived not physical positions of the double-drift stimulus</a></div><div class="wp-workCard_item"><span>Journal of Vision</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The double-drift illusion produces a large deviation in perceived direction that strongly dissoci...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The double-drift illusion produces a large deviation in perceived direction that strongly dissociates physical position from perceived position. Surprisingly, saccades do not seem to be affected by the illusion (Lisi &amp; Cavanagh, 2015). When targeting a double-drift stimulus, the saccade system is driven by retinal rather than perceived position. Here, using paired double-drift targets, we test whether the smooth pursuit system is driven by perceived or physical position. Participants (n = 7) smoothly pursued the inferred midpoint (Steinbach, 1976) between two horizontally aligned Gabor patches that were separated by 20° and moving on parallel, oblique paths. On the first half of each trial, the Gabors’ internal textures were static while both drifted obliquely downward. On the second half of each trial, while the envelope moved obliquely upward, the internal texture drifted orthogonally to the envelope&#39;s motion, producing a large perceived deviation from the downward path even though the upward and downward trajectories always followed the same physical path but in opposite directions. We find that smooth pursuit eye movements accurately followed the nonillusory downward path of the midpoint between the two Gabors, but then followed the illusory rather than the physical trajectory on the upward return. Thus, virtual targets for smooth pursuit are derived from perceived rather than retinal coordinates.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423813"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423813"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423813; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423813]").text(description); $(".js-view-count[data-work-id=73423813]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423813; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423813']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423813]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423813,"title":"Smooth pursuit operates over perceived not physical positions of the double-drift stimulus","internal_url":"https://www.academia.edu/73423813/Smooth_pursuit_operates_over_perceived_not_physical_positions_of_the_double_drift_stimulus","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423812"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423812/The_vector_combination_underlying_the_double_drift_illusion_is_based_on_motion_in_world_coordinates_Evidence_from_smooth_pursuit"><img alt="Research paper thumbnail of The vector combination underlying the double-drift illusion is based on motion in world coordinates: Evidence from smooth pursuit" class="work-thumbnail" src="https://attachments.academia-assets.com/81950836/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423812/The_vector_combination_underlying_the_double_drift_illusion_is_based_on_motion_in_world_coordinates_Evidence_from_smooth_pursuit">The vector combination underlying the double-drift illusion is based on motion in world coordinates: Evidence from smooth pursuit</a></div><div class="wp-workCard_item"><span>Journal of Vision</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">If a Gabor pattern drifts in one direction while its internal texture drifts in the orthogonal di...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">If a Gabor pattern drifts in one direction while its internal texture drifts in the orthogonal direction, its perceived direction deviates strongly from its true direction and is instead some combination of its real external motion and its internal motion (Tse & Hsieh, 2006). In the first experiment, we confirm that, for the stimuli used in our experiment, the direction shifts on a gray background were explained by a vector combination of the internal and external motions whereas for the Gabor on a black background, we find no illusory shifts. These results suggest that the internal motion contributes to the perceived direction but only when the Gabor's positional uncertainty is high. Next, we test whether the vector combination is based on motions on the retina or motions in the world. When participants track a fixation point that moves in tandem with the Gabor, keeping it roughly stable on the retina, the illusion is undiminished. This finding indicates that the vector combination of internal and external motion that produces the double-drift illusion must happen after the eye movement signals have been factored into the stimulus motions to recover motions in the world, in particular, in areas V3A, V6, MSTd, and VIP.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e93849d75d5e59043e273f1af4c3a985" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950836,"asset_id":73423812,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950836/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423812"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423812"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423812; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73423812]").text(description); $(".js-view-count[data-work-id=73423812]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73423812; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='73423812']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e93849d75d5e59043e273f1af4c3a985" } } $('.js-work-strip[data-work-id=73423812]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423812,"title":"The vector combination underlying the double-drift illusion is based on motion in world coordinates: Evidence from smooth pursuit","internal_url":"https://www.academia.edu/73423812/The_vector_combination_underlying_the_double_drift_illusion_is_based_on_motion_in_world_coordinates_Evidence_from_smooth_pursuit","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[{"id":81950836,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81950836/thumbnails/1.jpg","file_name":"i1534-7362-19-14-2.pdf","download_url":"https://www.academia.edu/attachments/81950836/download_file","bulk_download_file_name":"The_vector_combination_underlying_the_do.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81950836/i1534-7362-19-14-2-libre.pdf?1646859957=\u0026response-content-disposition=attachment%3B+filename%3DThe_vector_combination_underlying_the_do.pdf\u0026Expires=1739713214\u0026Signature=O3ayYOuc6Fs9fL3zxXjKDFj4~btAU2DbGEMHUuwShD~49m5H4VCumeU8-Xz4LewQ8DxmF2-aZYFFRq93lR61oIF9UvSzKkJw-sUu5N8NTp5o12VB~rTrWs4ju0XFt~fT92NzuGlKnYqPF3D2e5O~LRleNYTYldD5w2HCJGqA7l7bJLn3xwlH6OPcU5sxnmE~Jrd8dXvBtyPTfIbjMvmLXT~80gqrKogrJ70RmKkTMh5fcs9avYjmQeCJnDi5x9W0tMWSRp-n2lVxaT4UrYfyfJgUi-~H3H8943J18F6qqfdFpKv2XFfULXdWAaP3sc8wXmjWtP5i6~TCvb1p6S25mA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423811"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/73423811/Attentional_facilitation_of_detection_of_flicker_on_moving_objects"><img alt="Research paper thumbnail of Attentional facilitation of detection of flicker on moving objects" class="work-thumbnail" src="https://attachments.academia-assets.com/81950837/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/73423811/Attentional_facilitation_of_detection_of_flicker_on_moving_objects">Attentional facilitation of detection of flicker on moving objects</a></div><div class="wp-workCard_item"><span>Journal of Vision</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigated the influence of attention and motion on the sensitivity of flicker detection for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigated the influence of attention and motion on the sensitivity of flicker detection for a target among distractors. Experiment 1 showed that when the target and distractors were moving, detection performance plummeted compared to when they were not moving, suggesting that the most sensitive detectors were local, temporal frequency-tuned receptive fields. With the stimuli in motion, a qualitatively different strategy was required and this led to much reduced performance. Cueing, which specified the target location with 100% validity, had no effect for targets that had little or no motion, suggesting that the flicker was sufficiently salient in this case to attract attention to the target without requiring any search. For targets with medium to high speeds, however, cueing provided a strong increase in sensitivity over uncued performance. This suggests a significant advantage for localizing and tracking the target and so sampling the luminance changes from only one trajectory. Experiment 2 showed that effect of attention was to increase the efficiency and duration of signal integration for the moving target. Overall, the results show that flicker sensitivity for a moving target relies on a much less efficient process than detection of static flicker, and that this less efficient process is facilitated when attention can select the relevant trajectory and ignore the others.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="88f80da69ec8ea0d2269dc82f7ba212f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81950837,"asset_id":73423811,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81950837/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423811"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423811"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423811; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423810"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423810/MovieS2"><img alt="Research paper thumbnail of MovieS2" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423810/MovieS2">MovieS2</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="73423810"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="73423810"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73423810; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=73423810]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":73423810,"title":"MovieS2","internal_url":"https://www.academia.edu/73423810/MovieS2","owner_id":178759187,"coauthors_can_edit":true,"owner":{"id":178759187,"first_name":"Patrick","middle_initials":null,"last_name":"Cavanagh","page_name":"PatrickCavanagh3","domain_name":"independent","created_at":"2020-11-17T09:05:11.669-08:00","display_name":"Patrick Cavanagh","url":"https://independent.academia.edu/PatrickCavanagh3"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="73423809"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/73423809/Drawing_experts_have_better_visual_memory_while_drawing"><img alt="Research paper thumbnail of Drawing experts have better visual memory while drawing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/73423809/Drawing_experts_have_better_visual_memory_while_drawing">Drawing experts have better visual memory while drawing</a></div><div class="wp-workCard_item"><span>Journal of vision</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Drawing involves frequent shifts of gaze between the original and the drawing and visual memory h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Drawing involves frequent shifts of gaze between the original and the drawing and visual memory helps compare the original object and the drawing across these gaze shifts while creating and correcting the drawing. It remains unclear whether this memory encodes all of the object or only the features around the current drawing position and whether both the original and the copy are equally well represented. To address these questions, we designed a &quot;drawing&quot; experiment coupled with a change detection task. A polygon was displayed on one screen and participants had to copy it on another, with the original and the drawing presented in alternation. At unpredictable moments during the copying process, modifications were made on the drawing and the original figure (while they were not in view). Participants had to correct their drawing every time they perceived a change so that their drawing always matched the current original figure. 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