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data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-81852839-f10e-496b-98f5-9ce842e15444"></div> <div id="ProfileCheckPaperUpdate-react-component-81852839-f10e-496b-98f5-9ce842e15444"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Zvi N Roth</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://huji.academia.edu/">The Hebrew University of Jerusalem</a>, <a class="u-tcGrayDarker" 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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 Zvi N Roth</h3></div><div class="js-work-strip profile--work_container" data-work-id="23905336"><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/23905336/Functional_MRI_Representational_Similarity_Analysis_Reveals_a_Dissociation_between_Discriminative_and_Relative_Location_Information_in_the_Human_Visual_System"><img alt="Research paper thumbnail of Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System" class="work-thumbnail" src="https://attachments.academia-assets.com/44294062/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/23905336/Functional_MRI_Representational_Similarity_Analysis_Reveals_a_Dissociation_between_Discriminative_and_Relative_Location_Information_in_the_Human_Visual_System">Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Neural responses in visual cortex are governed by a topographic mapping from retinal locations to...</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">Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. Moreover, at the voxel population level early visual cortex (EVC) activity enables accurate decoding of stimuli locations. However, in many cases information enabling one to discriminate between locations (i.e., discriminative information) may be less relevant than information regarding the relative location of two objects (i.e., relative information). For example, when planning to grab a cup, determining whether the cup is located at the same retinal location as the hand is hardly relevant, whereas the location of the cup relative to the hand is crucial for performing the action. We have previously used multivariate pattern analysis techniques to measure discriminative location information, and found the highest levels in EVC, in line with other studies. Here we show, using representational similarity analysis, that availability of discriminative information in fMRI activation patterns does not entail availability of relative information. Specifically, we find that relative location information can be reliably extracted from activity patterns in posterior intraparietal sulcus (pIPS), but not from EVC, where we find the spatial representation to be warped. We further show that this variability in relative information levels between regions can be explained by a computational model based on an array of receptive fields. Moreover, when the model's receptive fields are extended to include inhibitory surround regions, the model can account for the spatial warping in EVC. These results demonstrate how size and shape properties of receptive fields in human visual cortex contribute to the transformation of discriminative spatial representations into relative spatial representations along the visual stream.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5912bf83db3f564896921a3b6d6f6307" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44294062,"asset_id":23905336,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44294062/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&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="23905336"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23905336"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23905336; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23905336]").text(description); $(".js-view-count[data-work-id=23905336]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23905336; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23905336']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 23905336, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "5912bf83db3f564896921a3b6d6f6307" } } $('.js-work-strip[data-work-id=23905336]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23905336,"title":"Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System","translated_title":"","metadata":{"abstract":"Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. 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hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15195393/Position_Invariance_and_Object_Affordances_in_Human_Parietal_Cortex"><img alt="Research paper thumbnail of Position Invariance and Object Affordances in Human Parietal Cortex" 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" href="https://www.academia.edu/15195393/Position_Invariance_and_Object_Affordances_in_Human_Parietal_Cortex">Position Invariance and Object Affordances in Human Parietal Cortex</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://huji.academia.edu/EhudZohary">Ehud Zohary</a> and <a class="" 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href="https://www.academia.edu/15062995/Position_and_Identity_Information_Available_in_fMRI_Patterns_of_Activity_in_Human_Visual_Cortex"><img alt="Research paper thumbnail of Position and Identity Information Available in fMRI Patterns of Activity in Human Visual Cortex" class="work-thumbnail" src="https://attachments.academia-assets.com/38529000/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/15062995/Position_and_Identity_Information_Available_in_fMRI_Patterns_of_Activity_in_Human_Visual_Cortex">Position and Identity Information Available in fMRI Patterns of Activity in Human Visual Cortex</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://huji.academia.edu/EhudZohary">Ehud Zohary</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://huji.academia.edu/ZviRoth">Zvi N Roth</a></span></div><div class="wp-workCard_item"><span>The Journal of Neuroscience</span><span>, Aug 19, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Parietal cortex is often implicated in visual processing of actions. Action understanding is esse...</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">Parietal cortex is often implicated in visual processing of actions. Action understanding is essentially abstract, specific to the type or goal of action, but greatly independent of variations in the perceived position of the action. If certain parietal regions are involved in action understanding, then we expect them to show these generalization and selectivity properties. However, additional functions of parietal cortex, such as self-action control, may impose other demands by requiring an accurate representation of the location of graspable objects. Therefore, the dimensions along which responses are modulated may indicate the functional role of specific parietal regions. Here, we studied the degree of position invariance and hand/object specificity during viewing of tool-grasping actions. To that end, we characterize the information available about location, hand, and tool identity in the patterns of fMRI activation in various cortical areas: early visual cortex, posterior intraparietal sulcus, anterior superior parietal lobule, and the ventral object-specific lateral occipital complex. Our results suggest a gradient within the human dorsal stream: along the posterior–anterior axis, position information is gradually lost, whereas hand and tool identity information is enhanced. This may reflect a gradual transformation of visual input from an initial retinotopic representation in early visual areas to an abstract, position-invariant representation of viewed action in anterior parietal cortex.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="87a74f002103aafcf60c342b149272d0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38529000,"asset_id":15062995,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38529000/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&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="15062995"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15062995"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15062995; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15062995]").text(description); $(".js-view-count[data-work-id=15062995]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15062995; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15062995']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15062995, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "87a74f002103aafcf60c342b149272d0" } } $('.js-work-strip[data-work-id=15062995]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15062995,"title":"Position and Identity Information Available in fMRI Patterns of Activity in Human Visual Cortex","translated_title":"","metadata":{"abstract":"Parietal cortex is often implicated in visual processing of actions. 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To that end, we characterize the information available about location, hand, and tool identity in the patterns of fMRI activation in various cortical areas: early visual cortex, posterior intraparietal sulcus, anterior superior parietal lobule, and the ventral object-specific lateral occipital complex. Our results suggest a gradient within the human dorsal stream: along the posterior–anterior axis, position information is gradually lost, whereas hand and tool identity information is enhanced. This may reflect a gradual transformation of visual input from an initial retinotopic representation in early visual areas to an abstract, position-invariant representation of viewed action in anterior parietal cortex.","internal_url":"https://www.academia.edu/15062995/Position_and_Identity_Information_Available_in_fMRI_Patterns_of_Activity_in_Human_Visual_Cortex","translated_internal_url":"","created_at":"2015-08-20T15:44:07.044-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32986989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":4870832,"work_id":15062995,"tagging_user_id":32986989,"tagged_user_id":34254952,"co_author_invite_id":1107324,"email":"u***z@mail.huji.ac.il","affiliation":"The Hebrew University of Jerusalem","display_order":-1,"name":"Ehud Zohary","title":"Position and Identity Information Available in fMRI Patterns of Activity in Human Visual Cortex"}],"downloadable_attachments":[{"id":38529000,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38529000/thumbnails/1.jpg","file_name":"Roth___Zohary_2015_JNS.pdf","download_url":"https://www.academia.edu/attachments/38529000/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Position_and_Identity_Information_Availa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38529000/Roth___Zohary_2015_JNS-libre.pdf?1440110539=\u0026response-content-disposition=attachment%3B+filename%3DPosition_and_Identity_Information_Availa.pdf\u0026Expires=1732757870\u0026Signature=aPAsyfEP~66se2TuJXT-gfYu-KdDGi-DIDiefmldThXXv-fE5lT2bW5xhTZXv51xXMP2CDH6yBhsSLtF1VHfOOR~-keTCsp0YHSaVXkCGA00RkGRyxFREyvvCdpaJQy1AwNkmNFemQqH5IwCeZS9anoqPoGo11hLChlmODb41Ktn6ELtFoqKDWNZpCNMsjm679K1GW9aSgg19RtbAMUyGnFrLA4d3Y8MtMCnTCPpSHk67saeVz7Tq~Ez8HLUx8l7btcKIpP5STEIuzxAcxmyeY3EUnXfDDeWT8GnMbLnDvbH2gA2eF8HOT3j8e9FF24CYXt~1qnyrNrrjJTgxbZRgw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Position_and_Identity_Information_Available_in_fMRI_Patterns_of_Activity_in_Human_Visual_Cortex","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":32986989,"first_name":"Zvi","middle_initials":"N","last_name":"Roth","page_name":"ZviRoth","domain_name":"huji","created_at":"2015-07-11T10:51:32.782-07:00","display_name":"Zvi N Roth","url":"https://huji.academia.edu/ZviRoth"},"attachments":[{"id":38529000,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38529000/thumbnails/1.jpg","file_name":"Roth___Zohary_2015_JNS.pdf","download_url":"https://www.academia.edu/attachments/38529000/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Position_and_Identity_Information_Availa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38529000/Roth___Zohary_2015_JNS-libre.pdf?1440110539=\u0026response-content-disposition=attachment%3B+filename%3DPosition_and_Identity_Information_Availa.pdf\u0026Expires=1732757870\u0026Signature=aPAsyfEP~66se2TuJXT-gfYu-KdDGi-DIDiefmldThXXv-fE5lT2bW5xhTZXv51xXMP2CDH6yBhsSLtF1VHfOOR~-keTCsp0YHSaVXkCGA00RkGRyxFREyvvCdpaJQy1AwNkmNFemQqH5IwCeZS9anoqPoGo11hLChlmODb41Ktn6ELtFoqKDWNZpCNMsjm679K1GW9aSgg19RtbAMUyGnFrLA4d3Y8MtMCnTCPpSHk67saeVz7Tq~Ez8HLUx8l7btcKIpP5STEIuzxAcxmyeY3EUnXfDDeWT8GnMbLnDvbH2gA2eF8HOT3j8e9FF24CYXt~1qnyrNrrjJTgxbZRgw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2229,"name":"Vision Science","url":"https://www.academia.edu/Documents/in/Vision_Science"},{"id":29917,"name":"FMRI","url":"https://www.academia.edu/Documents/in/FMRI"},{"id":300467,"name":"Brain Decoding","url":"https://www.academia.edu/Documents/in/Brain_Decoding"},{"id":320260,"name":"MVPA","url":"https://www.academia.edu/Documents/in/MVPA"}],"urls":[]}, 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="13925582"><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/13925582/Fingerprints_of_Learned_Object_Recognition_Seen_in_the_fMRI_Activation_Patterns_of_Lateral_Occipital_Complex"><img alt="Research paper thumbnail of Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex" class="work-thumbnail" src="https://attachments.academia-assets.com/38160688/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/13925582/Fingerprints_of_Learned_Object_Recognition_Seen_in_the_fMRI_Activation_Patterns_of_Lateral_Occipital_Complex">Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex</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://huji.academia.edu/ZviRoth">Zvi N Roth</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/UdiZohary">Udi Zohary</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">One feature of visual processing in the ventral stream is that cortical responses gradually depar...</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">One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not affect recognition. Here, we use a complementary approach to highlight changes in brain activity following a shift in the perceptual state (in the absence of any alteration in the physical image). Specifically, we focus on LOC and early visual cortex (EVC) and compare their functional magnetic resonance imaging (fMRI) responses to degraded object images, before and after fast perceptual learning that renders initially unrecognized objects identifiable. Using 3 complementary analyses, we find that, in LOC, unlike EVC, learned recognition is associated with a change in the multivoxel response pattern to degraded object images, such that the response becomes significantly more correlated with that evoked by the intact version of the same image. This provides further evidence that the coding in LOC reflects the recognition of visual objects.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd3f6ba0723fd5293ef92aa66a435734" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38160688,"asset_id":13925582,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38160688/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&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="13925582"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13925582"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13925582; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13925582]").text(description); $(".js-view-count[data-work-id=13925582]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13925582; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13925582']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 13925582, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "bd3f6ba0723fd5293ef92aa66a435734" } } $('.js-work-strip[data-work-id=13925582]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13925582,"title":"Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex","translated_title":"","metadata":{"abstract":"One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not affect recognition. Here, we use a complementary approach to highlight changes in brain activity following a shift in the perceptual state (in the absence of any alteration in the physical image). Specifically, we focus on LOC and early visual cortex (EVC) and compare their functional magnetic resonance imaging (fMRI) responses to degraded object images, before and after fast perceptual learning that renders initially unrecognized objects identifiable. Using 3 complementary analyses, we find that, in LOC, unlike EVC, learned recognition is associated with a change in the multivoxel response pattern to degraded object images, such that the response becomes significantly more correlated with that evoked by the intact version of the same image. This provides further evidence that the coding in LOC reflects the recognition of visual objects."},"translated_abstract":"One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not affect recognition. Here, we use a complementary approach to highlight changes in brain activity following a shift in the perceptual state (in the absence of any alteration in the physical image). Specifically, we focus on LOC and early visual cortex (EVC) and compare their functional magnetic resonance imaging (fMRI) responses to degraded object images, before and after fast perceptual learning that renders initially unrecognized objects identifiable. Using 3 complementary analyses, we find that, in LOC, unlike EVC, learned recognition is associated with a change in the multivoxel response pattern to degraded object images, such that the response becomes significantly more correlated with that evoked by the intact version of the same image. This provides further evidence that the coding in LOC reflects the recognition of visual objects.","internal_url":"https://www.academia.edu/13925582/Fingerprints_of_Learned_Object_Recognition_Seen_in_the_fMRI_Activation_Patterns_of_Lateral_Occipital_Complex","translated_internal_url":"","created_at":"2015-07-11T13:14:45.033-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32986989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":2891805,"work_id":13925582,"tagging_user_id":32986989,"tagged_user_id":33143101,"co_author_invite_id":745179,"email":"u***z@cc.huji.ac.il","display_order":4194304,"name":"Udi Zohary","title":"Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex"}],"downloadable_attachments":[{"id":38160688,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38160688/thumbnails/1.jpg","file_name":"Cereb._Cortex-2014-Roth-cercor-bhu042.pdf","download_url":"https://www.academia.edu/attachments/38160688/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Fingerprints_of_Learned_Object_Recogniti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38160688/Cereb._Cortex-2014-Roth-cercor-bhu042-libre.pdf?1436646182=\u0026response-content-disposition=attachment%3B+filename%3DFingerprints_of_Learned_Object_Recogniti.pdf\u0026Expires=1732757870\u0026Signature=UhTaunLWVKch2-NrCAfijHvm4IN-QEQL6T4OH2JuVmD81RGmRB2h3j4lJQq99Z22-16Sjn~t3-IapukJAJsSyEErUoPn4voNDTkGKlbVCn~egZINZfh80XLfDBQ6uA5~GH26lAU32iuz037AWZN-gC0tj8J2b~pD7qVGdch6SRKGhruAe~U9sNJ-C7XszqezI62trIH~jw37eDZD7lF3PK952hdSLPKUCURx1jnmssc4-MyFwMXhjHW3Zxv6UfyIeNUOarti4o7FgxhzAEtIVwRTEVfFMk4XqlaQBpgkpGM4rS5tzxnbZcRq~HFId3KgSPsn3ZM3tmNICLBEwFDF2g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Fingerprints_of_Learned_Object_Recognition_Seen_in_the_fMRI_Activation_Patterns_of_Lateral_Occipital_Complex","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":32986989,"first_name":"Zvi","middle_initials":"N","last_name":"Roth","page_name":"ZviRoth","domain_name":"huji","created_at":"2015-07-11T10:51:32.782-07:00","display_name":"Zvi N Roth","url":"https://huji.academia.edu/ZviRoth"},"attachments":[{"id":38160688,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/38160688/thumbnails/1.jpg","file_name":"Cereb._Cortex-2014-Roth-cercor-bhu042.pdf","download_url":"https://www.academia.edu/attachments/38160688/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Fingerprints_of_Learned_Object_Recogniti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/38160688/Cereb._Cortex-2014-Roth-cercor-bhu042-libre.pdf?1436646182=\u0026response-content-disposition=attachment%3B+filename%3DFingerprints_of_Learned_Object_Recogniti.pdf\u0026Expires=1732757870\u0026Signature=UhTaunLWVKch2-NrCAfijHvm4IN-QEQL6T4OH2JuVmD81RGmRB2h3j4lJQq99Z22-16Sjn~t3-IapukJAJsSyEErUoPn4voNDTkGKlbVCn~egZINZfh80XLfDBQ6uA5~GH26lAU32iuz037AWZN-gC0tj8J2b~pD7qVGdch6SRKGhruAe~U9sNJ-C7XszqezI62trIH~jw37eDZD7lF3PK952hdSLPKUCURx1jnmssc4-MyFwMXhjHW3Zxv6UfyIeNUOarti4o7FgxhzAEtIVwRTEVfFMk4XqlaQBpgkpGM4rS5tzxnbZcRq~HFId3KgSPsn3ZM3tmNICLBEwFDF2g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience"},{"id":29917,"name":"FMRI","url":"https://www.academia.edu/Documents/in/FMRI"},{"id":49962,"name":"Visual Cortex","url":"https://www.academia.edu/Documents/in/Visual_Cortex"},{"id":312130,"name":"Multivoxel Pattern Analysis","url":"https://www.academia.edu/Documents/in/Multivoxel_Pattern_Analysis"}],"urls":[]}, 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="3200201" id="papers"><div class="js-work-strip profile--work_container" data-work-id="23905336"><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/23905336/Functional_MRI_Representational_Similarity_Analysis_Reveals_a_Dissociation_between_Discriminative_and_Relative_Location_Information_in_the_Human_Visual_System"><img alt="Research paper thumbnail of Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System" class="work-thumbnail" src="https://attachments.academia-assets.com/44294062/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/23905336/Functional_MRI_Representational_Similarity_Analysis_Reveals_a_Dissociation_between_Discriminative_and_Relative_Location_Information_in_the_Human_Visual_System">Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Neural responses in visual cortex are governed by a topographic mapping from retinal locations to...</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">Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. Moreover, at the voxel population level early visual cortex (EVC) activity enables accurate decoding of stimuli locations. However, in many cases information enabling one to discriminate between locations (i.e., discriminative information) may be less relevant than information regarding the relative location of two objects (i.e., relative information). For example, when planning to grab a cup, determining whether the cup is located at the same retinal location as the hand is hardly relevant, whereas the location of the cup relative to the hand is crucial for performing the action. We have previously used multivariate pattern analysis techniques to measure discriminative location information, and found the highest levels in EVC, in line with other studies. Here we show, using representational similarity analysis, that availability of discriminative information in fMRI activation patterns does not entail availability of relative information. Specifically, we find that relative location information can be reliably extracted from activity patterns in posterior intraparietal sulcus (pIPS), but not from EVC, where we find the spatial representation to be warped. We further show that this variability in relative information levels between regions can be explained by a computational model based on an array of receptive fields. Moreover, when the model's receptive fields are extended to include inhibitory surround regions, the model can account for the spatial warping in EVC. These results demonstrate how size and shape properties of receptive fields in human visual cortex contribute to the transformation of discriminative spatial representations into relative spatial representations along the visual stream.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5912bf83db3f564896921a3b6d6f6307" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44294062,"asset_id":23905336,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44294062/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&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="23905336"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="23905336"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23905336; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23905336]").text(description); $(".js-view-count[data-work-id=23905336]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23905336; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23905336']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 23905336, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "5912bf83db3f564896921a3b6d6f6307" } } $('.js-work-strip[data-work-id=23905336]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23905336,"title":"Functional MRI Representational Similarity Analysis Reveals a Dissociation between Discriminative and Relative Location Information in the Human Visual System","translated_title":"","metadata":{"abstract":"Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. Moreover, at the voxel population level early visual cortex (EVC) activity enables accurate decoding of stimuli locations. However, in many cases information enabling one to discriminate between locations (i.e., discriminative information) may be less relevant than information regarding the relative location of two objects (i.e., relative information). For example, when planning to grab a cup, determining whether the cup is located at the same retinal location as the hand is hardly relevant, whereas the location of the cup relative to the hand is crucial for performing the action. We have previously used multivariate pattern analysis techniques to measure discriminative location information, and found the highest levels in EVC, in line with other studies. Here we show, using representational similarity analysis, that availability of discriminative information in fMRI activation patterns does not entail availability of relative information. Specifically, we find that relative location information can be reliably extracted from activity patterns in posterior intraparietal sulcus (pIPS), but not from EVC, where we find the spatial representation to be warped. We further show that this variability in relative information levels between regions can be explained by a computational model based on an array of receptive fields. Moreover, when the model's receptive fields are extended to include inhibitory surround regions, the model can account for the spatial warping in EVC. These results demonstrate how size and shape properties of receptive fields in human visual cortex contribute to the transformation of discriminative spatial representations into relative spatial representations along the visual stream."},"translated_abstract":"Neural responses in visual cortex are governed by a topographic mapping from retinal locations to cortical responses. Moreover, at the voxel population level early visual cortex (EVC) activity enables accurate decoding of stimuli locations. However, in many cases information enabling one to discriminate between locations (i.e., discriminative information) may be less relevant than information regarding the relative location of two objects (i.e., relative information). For example, when planning to grab a cup, determining whether the cup is located at the same retinal location as the hand is hardly relevant, whereas the location of the cup relative to the hand is crucial for performing the action. We have previously used multivariate pattern analysis techniques to measure discriminative location information, and found the highest levels in EVC, in line with other studies. Here we show, using representational similarity analysis, that availability of discriminative information in fMRI activation patterns does not entail availability of relative information. Specifically, we find that relative location information can be reliably extracted from activity patterns in posterior intraparietal sulcus (pIPS), but not from EVC, where we find the spatial representation to be warped. We further show that this variability in relative information levels between regions can be explained by a computational model based on an array of receptive fields. Moreover, when the model's receptive fields are extended to include inhibitory surround regions, the model can account for the spatial warping in EVC. These results demonstrate how size and shape properties of receptive fields in human visual cortex contribute to the transformation of discriminative spatial representations into relative spatial representations along the visual 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Zohary</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://huji.academia.edu/ZviRoth">Zvi N Roth</a></span></div><div class="wp-workCard_item"><span>The Journal of Neuroscience</span><span>, Aug 19, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Parietal cortex is often implicated in visual processing of actions. Action understanding is esse...</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">Parietal cortex is often implicated in visual processing of actions. Action understanding is essentially abstract, specific to the type or goal of action, but greatly independent of variations in the perceived position of the action. If certain parietal regions are involved in action understanding, then we expect them to show these generalization and selectivity properties. However, additional functions of parietal cortex, such as self-action control, may impose other demands by requiring an accurate representation of the location of graspable objects. Therefore, the dimensions along which responses are modulated may indicate the functional role of specific parietal regions. Here, we studied the degree of position invariance and hand/object specificity during viewing of tool-grasping actions. To that end, we characterize the information available about location, hand, and tool identity in the patterns of fMRI activation in various cortical areas: early visual cortex, posterior intraparietal sulcus, anterior superior parietal lobule, and the ventral object-specific lateral occipital complex. Our results suggest a gradient within the human dorsal stream: along the posterior–anterior axis, position information is gradually lost, whereas hand and tool identity information is enhanced. This may reflect a gradual transformation of visual input from an initial retinotopic representation in early visual areas to an abstract, position-invariant representation of viewed action in anterior parietal cortex.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="87a74f002103aafcf60c342b149272d0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38529000,"asset_id":15062995,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38529000/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&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="15062995"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15062995"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15062995; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15062995]").text(description); $(".js-view-count[data-work-id=15062995]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15062995; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15062995']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15062995, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "87a74f002103aafcf60c342b149272d0" } } $('.js-work-strip[data-work-id=15062995]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15062995,"title":"Position and Identity Information Available in fMRI Patterns of Activity in Human Visual Cortex","translated_title":"","metadata":{"abstract":"Parietal cortex is often implicated in visual processing of actions. 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To that end, we characterize the information available about location, hand, and tool identity in the patterns of fMRI activation in various cortical areas: early visual cortex, posterior intraparietal sulcus, anterior superior parietal lobule, and the ventral object-specific lateral occipital complex. Our results suggest a gradient within the human dorsal stream: along the posterior–anterior axis, position information is gradually lost, whereas hand and tool identity information is enhanced. This may reflect a gradual transformation of visual input from an initial retinotopic representation in early visual areas to an abstract, position-invariant representation of viewed action in anterior parietal cortex.","publication_date":{"day":19,"month":8,"year":2015,"errors":{}},"publication_name":"The Journal of Neuroscience"},"translated_abstract":"Parietal cortex is often implicated in visual processing of actions. 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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="13925582"><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/13925582/Fingerprints_of_Learned_Object_Recognition_Seen_in_the_fMRI_Activation_Patterns_of_Lateral_Occipital_Complex"><img alt="Research paper thumbnail of Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex" class="work-thumbnail" src="https://attachments.academia-assets.com/38160688/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/13925582/Fingerprints_of_Learned_Object_Recognition_Seen_in_the_fMRI_Activation_Patterns_of_Lateral_Occipital_Complex">Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex</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://huji.academia.edu/ZviRoth">Zvi N Roth</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/UdiZohary">Udi Zohary</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">One feature of visual processing in the ventral stream is that cortical responses gradually depar...</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">One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not affect recognition. Here, we use a complementary approach to highlight changes in brain activity following a shift in the perceptual state (in the absence of any alteration in the physical image). Specifically, we focus on LOC and early visual cortex (EVC) and compare their functional magnetic resonance imaging (fMRI) responses to degraded object images, before and after fast perceptual learning that renders initially unrecognized objects identifiable. Using 3 complementary analyses, we find that, in LOC, unlike EVC, learned recognition is associated with a change in the multivoxel response pattern to degraded object images, such that the response becomes significantly more correlated with that evoked by the intact version of the same image. This provides further evidence that the coding in LOC reflects the recognition of visual objects.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd3f6ba0723fd5293ef92aa66a435734" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":38160688,"asset_id":13925582,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/38160688/download_file?st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&st=MTczMjc1NDI3MCw4LjIyMi4yMDguMTQ2&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="13925582"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13925582"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13925582; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13925582]").text(description); $(".js-view-count[data-work-id=13925582]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13925582; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13925582']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 13925582, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "bd3f6ba0723fd5293ef92aa66a435734" } } $('.js-work-strip[data-work-id=13925582]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13925582,"title":"Fingerprints of Learned Object Recognition Seen in the fMRI Activation Patterns of Lateral Occipital Complex","translated_title":"","metadata":{"abstract":"One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not affect recognition. Here, we use a complementary approach to highlight changes in brain activity following a shift in the perceptual state (in the absence of any alteration in the physical image). Specifically, we focus on LOC and early visual cortex (EVC) and compare their functional magnetic resonance imaging (fMRI) responses to degraded object images, before and after fast perceptual learning that renders initially unrecognized objects identifiable. Using 3 complementary analyses, we find that, in LOC, unlike EVC, learned recognition is associated with a change in the multivoxel response pattern to degraded object images, such that the response becomes significantly more correlated with that evoked by the intact version of the same image. This provides further evidence that the coding in LOC reflects the recognition of visual objects."},"translated_abstract":"One feature of visual processing in the ventral stream is that cortical responses gradually depart from the physical aspects of the visual stimulus and become correlated with perceptual experience. Thus, unlike early retinotopic areas, the responses in the object-related lateral occipital complex (LOC) are typically immune to parameter changes (e.g., contrast, location, etc.) when these do not affect recognition. Here, we use a complementary approach to highlight changes in brain activity following a shift in the perceptual state (in the absence of any alteration in the physical image). Specifically, we focus on LOC and early visual cortex (EVC) and compare their functional magnetic resonance imaging (fMRI) responses to degraded object images, before and after fast perceptual learning that renders initially unrecognized objects identifiable. 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