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Wüstenberg</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Charité - Universitätsmedizin Berlin / Charité Medical University Berlin</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://independent.academia.edu/SchottBjoern"><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/SchottBjoern">Schott Bjoern</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://cmu.academia.edu/LynneReder"><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 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social-profile-avatar-container"><a href="https://independent.academia.edu/MelinaUncapher"><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/MelinaUncapher">Melina Uncapher</a></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://unlv.academia.edu/ColleenParks"><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://unlv.academia.edu/ColleenParks">Colleen Parks</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Nevada, Las Vegas</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://surrey.academia.edu/BertramOpitz"><img class="profile-avatar u-positionAbsolute" alt="Bertram Opitz" 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/33544653/10411461/11617906/s200_bertram.opitz.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://surrey.academia.edu/BertramOpitz">Bertram Opitz</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Surrey</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://gatech.academia.edu/AudreyDuarte"><img 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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 Maria Wimber</h3></div><div class="js-work-strip profile--work_container" data-work-id="11509003"><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/11509003/Distinct_frontoparietal_networks_set_the_stage_for_later_perceptual_identification_priming_and_episodic_recognition_memory"><img alt="Research paper thumbnail of Distinct frontoparietal networks set the stage for later perceptual identification priming and episodic recognition memory" class="work-thumbnail" src="https://attachments.academia-assets.com/46661692/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/11509003/Distinct_frontoparietal_networks_set_the_stage_for_later_perceptual_identification_priming_and_episodic_recognition_memory">Distinct frontoparietal networks set the stage for later perceptual identification priming and episodic recognition memory</a></div><div class="wp-workCard_item"><span>The Journal of neuroscience : the official journal of the Society for Neuroscience</span><span>, Jan 6, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent imaging evidence suggests that a network of brain regions including the medial temporal lo...</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">Recent imaging evidence suggests that a network of brain regions including the medial temporal lobe, ventrolateral prefrontal cortex, and dorsal posterior parietal cortex supports the successful encoding of long-term memories. Other areas, like the ventral posterior parietal and dorsolateral prefrontal cortices, have been associated with encoding failure rather than success. In line with the transfer-appropriate processing view, we hypothesized that distinct neural networks predict successful encoding depending on whether the later memory test draws primarily on perceptual or conceptual memory representations. Following an encoding phase, memory was assessed in a combined incidental perceptual identification and intentional recognition memory test. We found that during encoding, activation in ventral posterior parietal and dorsolateral prefrontal cortex predicted successful perceptual identification priming, whereas activation in ventrolateral prefrontal and dorsal posterior parietal cortex predicted successful recognition memory. Extending recent theories of attention to memory, the results suggest that ventral parietal regions support stimulus-driven attention to perceptual item features, forming memories accessed by later perceptual memory tests, whereas dorsal parietal regions support attention to meaningful item features, forming memories accessed by later conceptual memory tests.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4d87793889075fffcedc8e8eebfb4afd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661692,"asset_id":11509003,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661692/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="11509003"><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="11509003"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509003; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509003]").text(description); $(".js-view-count[data-work-id=11509003]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509003; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509003']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="11509002"><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/11509002/The_relationship_between_brain_oscillations_and_BOLD_signal_during_memory_formation_a_combined_EEG_fMRI_study"><img alt="Research paper thumbnail of The relationship between brain oscillations and BOLD signal during memory formation: a combined EEG-fMRI study" 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/11509002/The_relationship_between_brain_oscillations_and_BOLD_signal_during_memory_formation_a_combined_EEG_fMRI_study">The relationship between brain oscillations and BOLD signal during memory formation: a combined EEG-fMRI study</a></div><div class="wp-workCard_item"><span>The Journal of neuroscience : the official journal of the Society for Neuroscience</span><span>, Jan 2, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Previous studies demonstrated that increases in the theta frequency band with concomitant decreas...</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">Previous studies demonstrated that increases in the theta frequency band with concomitant decreases in the alpha/beta frequency band indicate successful memory formation. However, little is known about the brain regions and the cognitive processes that underlie these encoding-related oscillatory memory effects. We investigated this relationship using simultaneous EEG-fMRI recordings in humans during long-term memory encoding. In line with prior studies, we demonstrate that a decrease in beta power and an increase in theta power positively predict subsequent recall. In fMRI, stronger activity in the left inferior prefrontal cortex and the right parahippocampal gyrus correlated with successful memory formation. EEG source localization revealed that the subsequent memory effect in the beta band was localized in the left inferior prefrontal cortex, whereas the effect in the theta band was localized in medial temporal lobe regions. Trial-by-trial correlations between EEG and BOLD activity showed that beta power correlated negatively with left inferior prefrontal cortex activity. This correlation was more pronounced for items that could later be successfully recalled compared to items later forgotten. Based on these findings, we suggest that beta oscillations in the left inferior prefrontal cortex indicate semantic encoding processes, whereas theta oscillations in the medial temporal lobe reflect the binding of an item to its spatiotemporal context.</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="11509002"><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="11509002"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509002; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509002]").text(description); $(".js-view-count[data-work-id=11509002]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509002; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509002']"); 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" } } $('.js-work-strip[data-work-id=11509002]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11509002,"title":"The relationship between brain oscillations and BOLD signal during memory formation: a combined EEG-fMRI study","internal_url":"https://www.academia.edu/11509002/The_relationship_between_brain_oscillations_and_BOLD_signal_during_memory_formation_a_combined_EEG_fMRI_study","owner_id":28052477,"coauthors_can_edit":true,"owner":{"id":28052477,"first_name":"Maria","middle_initials":null,"last_name":"Wimber","page_name":"MariaWimber","domain_name":"independent","created_at":"2015-03-18T08:00:50.822-07:00","display_name":"Maria Wimber","url":"https://independent.academia.edu/MariaWimber"},"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="11509001"><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/11509001/Rapid_memory_reactivation_revealed_by_oscillatory_entrainment"><img alt="Research paper thumbnail of Rapid memory reactivation revealed by oscillatory entrainment" class="work-thumbnail" src="https://attachments.academia-assets.com/46661720/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/11509001/Rapid_memory_reactivation_revealed_by_oscillatory_entrainment">Rapid memory reactivation revealed by oscillatory entrainment</a></div><div class="wp-workCard_item"><span>Current biology : CB</span><span>, Jan 21, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Episodic memory refers to humans' unique ability to mentally reconstruct past events. Neurocomput...</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">Episodic memory refers to humans' unique ability to mentally reconstruct past events. Neurocomputational models predict that remembering entails the reinstatement of brain activity that was present when an event was initially experienced , a claim that has recently gained support from functional imaging work in humans . The nature of this reactivation, however, is still unclear. Cognitive models claim that retrieval is set off by an early reactivation of stored memory representations (''ecphory'') . However, reinstatement as found in imaging studies might also reflect postretrieval processes that operate on the products of retrieval and are thus a consequence rather than a precondition of remembering. Here, we used frequency entrainment as a novel method of tagging memories in the human electroencephalogram (EEG). Participants studied words presented on flickering backgrounds, entraining a steady-state brain response at either 6 or 10 Hz. We found that these frequency signatures rapidly reemerged during a later memory test when participants successfully recognized a word. An additional behavioral experiment suggested that this reactivation occurs in the absence of conscious memory for the frequencies entrained during study. The findings provide empirical evidence for the role of rapid, likely unconscious memory reactivation during retrieval.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e05cd65f3167124d312bb1857045e91b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661720,"asset_id":11509001,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661720/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="11509001"><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="11509001"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509001; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509001]").text(description); $(".js-view-count[data-work-id=11509001]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509001; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509001']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="11509000"><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/11509000/On_the_intimate_relationship_between_neurobiology_and_function_in_the_theoretical_analysis_of_human_learning_and_memory"><img alt="Research paper thumbnail of On the intimate relationship between neurobiology and function in the theoretical analysis of human learning and memory" 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/11509000/On_the_intimate_relationship_between_neurobiology_and_function_in_the_theoretical_analysis_of_human_learning_and_memory">On the intimate relationship between neurobiology and function in the theoretical analysis of human learning and memory</a></div><div class="wp-workCard_item"><span>Neuroimaging of Human MemoryLinking cognitive processes to neural systems</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</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="11509000"><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="11509000"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509000; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509000]").text(description); $(".js-view-count[data-work-id=11509000]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509000; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509000']"); 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); 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</script> <div class="js-work-strip profile--work_container" data-work-id="11508999"><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/11508999/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task"><img alt="Research paper thumbnail of The Electrophysiological Dynamics of Interference during the Stroop Task" class="work-thumbnail" src="https://attachments.academia-assets.com/46661726/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/11508999/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task">The Electrophysiological Dynamics of Interference during the Stroop Task</a></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& If subjects are required to name the color of the word red printed in blue ink, interference be...</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 subjects are required to name the color of the word red printed in blue ink, interference between word meaning and ink color occurs, which slows down reaction time. This effect is well known as the Stroop effect. It is still an unresolved issue how the brain deals with interference in this type of task. To explore this question, an electroencephalogram (EEG) study was carried out. By analyzing several measures of EEG activity, two main findings emerged. First, the event-related potential (ERP) showed increased fronto-central negativity in a time window around 400 msec for incongruent items in contrast to congruent and neutral items. Source localization analysis revealed that a source in the anterior cingulate cortex (ACC) contributed most to the difference. Second, time-frequency analysis showed that theta oscillations (4-7 Hz) in the ACC increased linearly with increasing interference and that phase coupling between the ACC and the left prefrontal cortex was longer persistent for incongruent items compared to congruent and neutral items. These effects occurred at a time window around 600 msec. We conclude that interference between color naming and word meaning in the Stroop task manifests itself at around 400 msec and mainly activates the ACC. Thereafter, sustained phase coupling between the ACC and the prefrontal cortex occurs, which most likely reflects the engagement of cognitive control mechanisms. & D</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd3de7043957578c3359a4e2ed8b4eec" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661726,"asset_id":11508999,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661726/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="11508999"><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="11508999"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508999; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11508999]").text(description); $(".js-view-count[data-work-id=11508999]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11508999; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11508999']"); 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: "bd3de7043957578c3359a4e2ed8b4eec" } } $('.js-work-strip[data-work-id=11508999]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11508999,"title":"The Electrophysiological Dynamics of Interference during the Stroop Task","internal_url":"https://www.academia.edu/11508999/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task","owner_id":28052477,"coauthors_can_edit":true,"owner":{"id":28052477,"first_name":"Maria","middle_initials":null,"last_name":"Wimber","page_name":"MariaWimber","domain_name":"independent","created_at":"2015-03-18T08:00:50.822-07:00","display_name":"Maria Wimber","url":"https://independent.academia.edu/MariaWimber"},"attachments":[{"id":46661726,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46661726/thumbnails/1.jpg","file_name":"The_Electrophysiological_Dynamics_of_Int20160620-14323-n5bnfn.pdf","download_url":"https://www.academia.edu/attachments/46661726/download_file","bulk_download_file_name":"The_Electrophysiological_Dynamics_of_Int.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46661726/The_Electrophysiological_Dynamics_of_Int20160620-14323-n5bnfn-libre.pdf?1466481134=\u0026response-content-disposition=attachment%3B+filename%3DThe_Electrophysiological_Dynamics_of_Int.pdf\u0026Expires=1740855885\u0026Signature=UszhrfHyuTnf~WFzzhqHoZYaSIKPCLEuUhLsfYUd96pdr3-~bHOreqNRWrAPORK0vYL16vDxnJztRDqkAb2h7x1KZpw6zGOfWirwwLhSspr4S~hXXqrvxrCReYqdrApW-zuVI-FVPASa5RrlxMt0KVnQhV~ME0bL4wcZ7o6~Vt42dZpY1gBGP~SlrSpOgMzv~RHKvokjHL4kpQLkp7-FlaCw7~X4Whl2BUwpNnvN0HViAxmvwRMQqgin~cKPpUuCMT6c~sAyYScQOywwePcrvmuolSfgz9xF8myOwJ5uGjNELDuP92Sdd2lNXfVvmTNFLq2~relgeCFy5ySDWc-X0g__\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="11508998"><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/11508998/Neural_markers_of_inhibition_in_human_memory_retrieval"><img alt="Research paper thumbnail of Neural markers of inhibition in human memory retrieval" class="work-thumbnail" src="https://attachments.academia-assets.com/46661693/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/11508998/Neural_markers_of_inhibition_in_human_memory_retrieval">Neural markers of inhibition in human memory retrieval</a></div><div class="wp-workCard_item"><span>The Journal of neuroscience : the official journal of the Society for Neuroscience</span><span>, Jan 10, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Retrieving particular information from memory facilitates the later retrieval of that information...</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">Retrieving particular information from memory facilitates the later retrieval of that information, but also impairs the later retrieval of related, interfering information. It has been theorized that this retrieval-induced forgetting reflects inhibition of interfering memory representations. We used event-related fMRI to investigate the functional neuroanatomy of this impaired retrieval, at the time the impairment is observed. Neural activity differences between impaired and facilitated information occurred in left ventrolateral prefrontal cortex (VLPFC, BA 45 and 47), precuneus (BA 7), and right inferior parietal lobule (IPL, BA 40). Activity in left anterior VLPFC (BA 47) and left posterior temporal cortex (BA 22), regions implicated in the controlled retrieval of weak semantic memory representations, predicted the degree of retrieval-induced forgetting. In contrast, activity in precuneus and right IPL predicted the degree of retrievalinduced facilitation. Our findings demonstrate that impairment of interfering memories and facilitation of practiced memories involve distinct neural processes, and suggest that the impairment reflects inhibition that weakens interfering memory representations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="89ce382b8216415cb26e4b2b85d8858b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661693,"asset_id":11508998,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661693/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="11508998"><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="11508998"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508998; 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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="11508997"><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/11508997/Retrieval_from_Episodic_Memory_Neural_Mechanisms_of_Interference_Resolution"><img alt="Research paper thumbnail of Retrieval from Episodic Memory: Neural Mechanisms of Interference Resolution" class="work-thumbnail" src="https://attachments.academia-assets.com/46661738/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/11508997/Retrieval_from_Episodic_Memory_Neural_Mechanisms_of_Interference_Resolution">Retrieval from Episodic Memory: Neural Mechanisms of Interference Resolution</a></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& Selectively retrieving a target memory among related memories requires some degree of inhibitor...</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">& Selectively retrieving a target memory among related memories requires some degree of inhibitory control over interfering and competing memories, a process assumed to be supported by inhibitory mechanisms. Evidence from behavioral studies suggests that such inhibitory control can lead to subsequent forgetting of the interfering information, a finding called retrieval-induced forgetting [Anderson, M. C., Bjork, R. A., & Bjork, E. L. Remembering can cause forgetting: Retrieval dynamics in long-term memory. Journal of Experimental Psychology: Learning, Memory & Cognition, 20, 1063-1087]. In the present functional magnetic resonance imaging study, we investigated the neural processes underlying retrievalinduced forgetting and, in particular, examined the extent to which these processes are retrieval (i.e., selection) specific.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fca3da41f004aadc41d22024fd2b503b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661738,"asset_id":11508997,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661738/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="11508997"><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="11508997"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508997; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11508997]").text(description); $(".js-view-count[data-work-id=11508997]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11508997; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11508997']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="11508996"><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/11508996/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task"><img alt="Research paper thumbnail of The Electrophysiological Dynamics of Interference during the Stroop Task" class="work-thumbnail" src="https://attachments.academia-assets.com/46661714/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/11508996/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task">The Electrophysiological Dynamics of Interference during the Stroop Task</a></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& If subjects are required to name the color of the word red printed in blue ink, interference be...</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 subjects are required to name the color of the word red printed in blue ink, interference between word meaning and ink color occurs, which slows down reaction time. This effect is well known as the Stroop effect. It is still an unresolved issue how the brain deals with interference in this type of task. To explore this question, an electroencephalogram (EEG) study was carried out. By analyzing several measures of EEG activity, two main findings emerged. First, the event-related potential (ERP) showed increased fronto-central negativity in a time window around 400 msec for incongruent items in contrast to congruent and neutral items. Source localization analysis revealed that a source in the anterior cingulate cortex (ACC) contributed most to the difference. Second, time-frequency analysis showed that theta oscillations (4-7 Hz) in the ACC increased linearly with increasing interference and that phase coupling between the ACC and the left prefrontal cortex was longer persistent for incongruent items compared to congruent and neutral items. These effects occurred at a time window around 600 msec. We conclude that interference between color naming and word meaning in the Stroop task manifests itself at around 400 msec and mainly activates the ACC. Thereafter, sustained phase coupling between the ACC and the prefrontal cortex occurs, which most likely reflects the engagement of cognitive control mechanisms. & D</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="64a2f50f9d9f43275b61e544fc7ac730" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661714,"asset_id":11508996,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661714/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="11508996"><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="11508996"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508996; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "64a2f50f9d9f43275b61e544fc7ac730" } } $('.js-work-strip[data-work-id=11508996]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11508996,"title":"The Electrophysiological Dynamics of Interference during the Stroop Task","internal_url":"https://www.academia.edu/11508996/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task","owner_id":28052477,"coauthors_can_edit":true,"owner":{"id":28052477,"first_name":"Maria","middle_initials":null,"last_name":"Wimber","page_name":"MariaWimber","domain_name":"independent","created_at":"2015-03-18T08:00:50.822-07:00","display_name":"Maria Wimber","url":"https://independent.academia.edu/MariaWimber"},"attachments":[{"id":46661714,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46661714/thumbnails/1.jpg","file_name":"The_Electrophysiological_Dynamics_of_Int20160620-19167-gn4kko.pdf","download_url":"https://www.academia.edu/attachments/46661714/download_file","bulk_download_file_name":"The_Electrophysiological_Dynamics_of_Int.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46661714/The_Electrophysiological_Dynamics_of_Int20160620-19167-gn4kko-libre.pdf?1466481135=\u0026response-content-disposition=attachment%3B+filename%3DThe_Electrophysiological_Dynamics_of_Int.pdf\u0026Expires=1740855885\u0026Signature=e2XKNEm~GzoChBZH9iZEkQO1VeBaWeCeOeLn~B7IujsF3HUHJfT8rK5T6H5CoemF5514LQ2VuGJeJGK0ZhwlseB~11TOWAIS30JvyCBX0Area~0KLfUolfTyM-tCxe2gbnYrxNJvYf41RJjDu5lAaxVjGLH39t6AY5TmYfywRAXj42-VXFukrSa-nhnuQM~JfDOJW2js2FH7ZcdTeR7iCLuEVdIMF1G1VW-Oni5Q9o-mccXjk9xA5SN72A9dwh2ZC28awSESnmh5i8sZTjZa1DD8dn6KgrIau-6pTS8My4zYaulbYnQEoupH~vhFznDCHg09s7HRcUo9MANELsoP~w__\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="11508995"><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/11508995/Prestimulus_Oscillatory_Phase_at_7_Hz_Gates_Cortical_Information_Flow_and_Visual_Perception"><img alt="Research paper thumbnail of Prestimulus Oscillatory Phase at 7 Hz Gates Cortical Information Flow and Visual Perception" class="work-thumbnail" src="https://attachments.academia-assets.com/46661729/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/11508995/Prestimulus_Oscillatory_Phase_at_7_Hz_Gates_Cortical_Information_Flow_and_Visual_Perception">Prestimulus Oscillatory Phase at 7 Hz Gates Cortical Information Flow and Visual Perception</a></div><div class="wp-workCard_item"><span>Current Biology</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Although we have the impression that visual information flows continuously from our sensory chann...</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">Although we have the impression that visual information flows continuously from our sensory channels, recent studies indicate that this is likely not the case. Rather, we sample visual stimuli rhythmically, oscillating at 5-10 Hz . Electroencephalography (EEG) studies have demonstrated that this rhythmicity is reflected by the phase of ongoing brain oscillations in the same frequency . Theoretically, brain oscillations could underlie the rhythmic nature of perception by providing transient time windows for information exchange , but this question has not yet been systematically addressed. We recorded simultaneous EEG-fMRI while human participants performed a contour integration task and show that ongoing brain oscillations prior to stimulus onset predict functional connectivity between higher and lower level visual processing regions. Specifically, our results demonstrate that the phase of a 7 Hz oscillation prior to stimulus onset predicts perceptual performance and the bidirectional information flow between the left lateral occipital cortex and right intraparietal sulcus, as indicated by psychophysiological interaction and dynamic causal modeling. These findings suggest that human brain oscillations periodically gate visual perception at around 7 Hz by providing transient time windows for longdistance cortical information transfer. Such gating might be a general mechanism underlying the rhythmic nature of human perception.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="34f29eaeeecf2a21e14ea8ac30775633" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661729,"asset_id":11508995,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661729/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="11508995"><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="11508995"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508995; 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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="11465695"><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/11465695/Retrieval_induces_adaptive_forgetting_of_competing_memories_via_cortical_pattern_suppression"><img alt="Research paper thumbnail of Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression" class="work-thumbnail" src="https://attachments.academia-assets.com/36996764/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/11465695/Retrieval_induces_adaptive_forgetting_of_competing_memories_via_cortical_pattern_suppression">Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression</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://cambridge.academia.edu/MichaelAnderson">Michael Anderson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MariaWimber">Maria Wimber</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://cambridge.academia.edu/IanCharest">Ian Charest</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Remembering a past experience can, surprisingly, cause forgetting. Forgetting arises when other c...</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">Remembering a past experience can, surprisingly, cause forgetting. Forgetting arises when other competing traces interfere with retrieval and inhibitory control mechanisms are engaged to suppress the distraction they cause. This form of forgetting is considered to be adaptive because it reduces future interference. The effect of this proposed inhibition process on competing memories has, however, never been observed, as behavioral methods are ‘blind’ to retrieval dynamics and neuroimaging methods have not isolated retrieval of individual memories. We developed a canonical template tracking method to quantify the activation state of individual target memories and competitors during retrieval. This method revealed that repeatedly retrieving target memories suppressed cortical patterns unique to competitors. Pattern suppression was related to engagement of prefrontal regions that have been implicated in resolving retrieval competition and, critically, predicted later forgetting. Thus, our findings demonstrate a cortical pattern suppression mechanism through which remembering adaptively shapes which aspects of our past remain accessible.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9c2f9bbe787866502df75231b92587af" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":36996764,"asset_id":11465695,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/36996764/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="11465695"><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="11465695"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11465695; 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$(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="2749287" id="papers"><div class="js-work-strip profile--work_container" data-work-id="11509003"><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/11509003/Distinct_frontoparietal_networks_set_the_stage_for_later_perceptual_identification_priming_and_episodic_recognition_memory"><img alt="Research paper thumbnail of Distinct frontoparietal networks set the stage for later perceptual identification priming and episodic recognition memory" class="work-thumbnail" src="https://attachments.academia-assets.com/46661692/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/11509003/Distinct_frontoparietal_networks_set_the_stage_for_later_perceptual_identification_priming_and_episodic_recognition_memory">Distinct frontoparietal networks set the stage for later perceptual identification priming and episodic recognition memory</a></div><div class="wp-workCard_item"><span>The Journal of neuroscience : the official journal of the Society for Neuroscience</span><span>, Jan 6, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent imaging evidence suggests that a network of brain regions including the medial temporal lo...</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">Recent imaging evidence suggests that a network of brain regions including the medial temporal lobe, ventrolateral prefrontal cortex, and dorsal posterior parietal cortex supports the successful encoding of long-term memories. Other areas, like the ventral posterior parietal and dorsolateral prefrontal cortices, have been associated with encoding failure rather than success. In line with the transfer-appropriate processing view, we hypothesized that distinct neural networks predict successful encoding depending on whether the later memory test draws primarily on perceptual or conceptual memory representations. Following an encoding phase, memory was assessed in a combined incidental perceptual identification and intentional recognition memory test. We found that during encoding, activation in ventral posterior parietal and dorsolateral prefrontal cortex predicted successful perceptual identification priming, whereas activation in ventrolateral prefrontal and dorsal posterior parietal cortex predicted successful recognition memory. Extending recent theories of attention to memory, the results suggest that ventral parietal regions support stimulus-driven attention to perceptual item features, forming memories accessed by later perceptual memory tests, whereas dorsal parietal regions support attention to meaningful item features, forming memories accessed by later conceptual memory tests.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4d87793889075fffcedc8e8eebfb4afd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661692,"asset_id":11509003,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661692/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="11509003"><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="11509003"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509003; 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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="11509002"><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/11509002/The_relationship_between_brain_oscillations_and_BOLD_signal_during_memory_formation_a_combined_EEG_fMRI_study"><img alt="Research paper thumbnail of The relationship between brain oscillations and BOLD signal during memory formation: a combined EEG-fMRI study" 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/11509002/The_relationship_between_brain_oscillations_and_BOLD_signal_during_memory_formation_a_combined_EEG_fMRI_study">The relationship between brain oscillations and BOLD signal during memory formation: a combined EEG-fMRI study</a></div><div class="wp-workCard_item"><span>The Journal of neuroscience : the official journal of the Society for Neuroscience</span><span>, Jan 2, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Previous studies demonstrated that increases in the theta frequency band with concomitant decreas...</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">Previous studies demonstrated that increases in the theta frequency band with concomitant decreases in the alpha/beta frequency band indicate successful memory formation. However, little is known about the brain regions and the cognitive processes that underlie these encoding-related oscillatory memory effects. We investigated this relationship using simultaneous EEG-fMRI recordings in humans during long-term memory encoding. In line with prior studies, we demonstrate that a decrease in beta power and an increase in theta power positively predict subsequent recall. In fMRI, stronger activity in the left inferior prefrontal cortex and the right parahippocampal gyrus correlated with successful memory formation. EEG source localization revealed that the subsequent memory effect in the beta band was localized in the left inferior prefrontal cortex, whereas the effect in the theta band was localized in medial temporal lobe regions. Trial-by-trial correlations between EEG and BOLD activity showed that beta power correlated negatively with left inferior prefrontal cortex activity. This correlation was more pronounced for items that could later be successfully recalled compared to items later forgotten. Based on these findings, we suggest that beta oscillations in the left inferior prefrontal cortex indicate semantic encoding processes, whereas theta oscillations in the medial temporal lobe reflect the binding of an item to its spatiotemporal context.</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="11509002"><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="11509002"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509002; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509002]").text(description); $(".js-view-count[data-work-id=11509002]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509002; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509002']"); 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" } } $('.js-work-strip[data-work-id=11509002]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11509002,"title":"The relationship between brain oscillations and BOLD signal during memory formation: a combined EEG-fMRI study","internal_url":"https://www.academia.edu/11509002/The_relationship_between_brain_oscillations_and_BOLD_signal_during_memory_formation_a_combined_EEG_fMRI_study","owner_id":28052477,"coauthors_can_edit":true,"owner":{"id":28052477,"first_name":"Maria","middle_initials":null,"last_name":"Wimber","page_name":"MariaWimber","domain_name":"independent","created_at":"2015-03-18T08:00:50.822-07:00","display_name":"Maria Wimber","url":"https://independent.academia.edu/MariaWimber"},"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="11509001"><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/11509001/Rapid_memory_reactivation_revealed_by_oscillatory_entrainment"><img alt="Research paper thumbnail of Rapid memory reactivation revealed by oscillatory entrainment" class="work-thumbnail" src="https://attachments.academia-assets.com/46661720/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/11509001/Rapid_memory_reactivation_revealed_by_oscillatory_entrainment">Rapid memory reactivation revealed by oscillatory entrainment</a></div><div class="wp-workCard_item"><span>Current biology : CB</span><span>, Jan 21, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Episodic memory refers to humans' unique ability to mentally reconstruct past events. Neurocomput...</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">Episodic memory refers to humans' unique ability to mentally reconstruct past events. Neurocomputational models predict that remembering entails the reinstatement of brain activity that was present when an event was initially experienced , a claim that has recently gained support from functional imaging work in humans . The nature of this reactivation, however, is still unclear. Cognitive models claim that retrieval is set off by an early reactivation of stored memory representations (''ecphory'') . However, reinstatement as found in imaging studies might also reflect postretrieval processes that operate on the products of retrieval and are thus a consequence rather than a precondition of remembering. Here, we used frequency entrainment as a novel method of tagging memories in the human electroencephalogram (EEG). Participants studied words presented on flickering backgrounds, entraining a steady-state brain response at either 6 or 10 Hz. We found that these frequency signatures rapidly reemerged during a later memory test when participants successfully recognized a word. An additional behavioral experiment suggested that this reactivation occurs in the absence of conscious memory for the frequencies entrained during study. The findings provide empirical evidence for the role of rapid, likely unconscious memory reactivation during retrieval.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e05cd65f3167124d312bb1857045e91b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661720,"asset_id":11509001,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661720/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="11509001"><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="11509001"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509001; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509001]").text(description); $(".js-view-count[data-work-id=11509001]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509001; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509001']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="11509000"><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/11509000/On_the_intimate_relationship_between_neurobiology_and_function_in_the_theoretical_analysis_of_human_learning_and_memory"><img alt="Research paper thumbnail of On the intimate relationship between neurobiology and function in the theoretical analysis of human learning and memory" 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/11509000/On_the_intimate_relationship_between_neurobiology_and_function_in_the_theoretical_analysis_of_human_learning_and_memory">On the intimate relationship between neurobiology and function in the theoretical analysis of human learning and memory</a></div><div class="wp-workCard_item"><span>Neuroimaging of Human MemoryLinking cognitive processes to neural systems</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</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="11509000"><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="11509000"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11509000; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11509000]").text(description); $(".js-view-count[data-work-id=11509000]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11509000; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11509000']"); 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); 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</script> <div class="js-work-strip profile--work_container" data-work-id="11508999"><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/11508999/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task"><img alt="Research paper thumbnail of The Electrophysiological Dynamics of Interference during the Stroop Task" class="work-thumbnail" src="https://attachments.academia-assets.com/46661726/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/11508999/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task">The Electrophysiological Dynamics of Interference during the Stroop Task</a></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& If subjects are required to name the color of the word red printed in blue ink, interference be...</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 subjects are required to name the color of the word red printed in blue ink, interference between word meaning and ink color occurs, which slows down reaction time. This effect is well known as the Stroop effect. It is still an unresolved issue how the brain deals with interference in this type of task. To explore this question, an electroencephalogram (EEG) study was carried out. By analyzing several measures of EEG activity, two main findings emerged. First, the event-related potential (ERP) showed increased fronto-central negativity in a time window around 400 msec for incongruent items in contrast to congruent and neutral items. Source localization analysis revealed that a source in the anterior cingulate cortex (ACC) contributed most to the difference. Second, time-frequency analysis showed that theta oscillations (4-7 Hz) in the ACC increased linearly with increasing interference and that phase coupling between the ACC and the left prefrontal cortex was longer persistent for incongruent items compared to congruent and neutral items. These effects occurred at a time window around 600 msec. We conclude that interference between color naming and word meaning in the Stroop task manifests itself at around 400 msec and mainly activates the ACC. Thereafter, sustained phase coupling between the ACC and the prefrontal cortex occurs, which most likely reflects the engagement of cognitive control mechanisms. & D</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd3de7043957578c3359a4e2ed8b4eec" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661726,"asset_id":11508999,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661726/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="11508999"><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="11508999"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508999; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11508999]").text(description); $(".js-view-count[data-work-id=11508999]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11508999; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11508999']"); 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: "bd3de7043957578c3359a4e2ed8b4eec" } } $('.js-work-strip[data-work-id=11508999]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11508999,"title":"The Electrophysiological Dynamics of Interference during the Stroop Task","internal_url":"https://www.academia.edu/11508999/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task","owner_id":28052477,"coauthors_can_edit":true,"owner":{"id":28052477,"first_name":"Maria","middle_initials":null,"last_name":"Wimber","page_name":"MariaWimber","domain_name":"independent","created_at":"2015-03-18T08:00:50.822-07:00","display_name":"Maria Wimber","url":"https://independent.academia.edu/MariaWimber"},"attachments":[{"id":46661726,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46661726/thumbnails/1.jpg","file_name":"The_Electrophysiological_Dynamics_of_Int20160620-14323-n5bnfn.pdf","download_url":"https://www.academia.edu/attachments/46661726/download_file","bulk_download_file_name":"The_Electrophysiological_Dynamics_of_Int.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46661726/The_Electrophysiological_Dynamics_of_Int20160620-14323-n5bnfn-libre.pdf?1466481134=\u0026response-content-disposition=attachment%3B+filename%3DThe_Electrophysiological_Dynamics_of_Int.pdf\u0026Expires=1740855885\u0026Signature=UszhrfHyuTnf~WFzzhqHoZYaSIKPCLEuUhLsfYUd96pdr3-~bHOreqNRWrAPORK0vYL16vDxnJztRDqkAb2h7x1KZpw6zGOfWirwwLhSspr4S~hXXqrvxrCReYqdrApW-zuVI-FVPASa5RrlxMt0KVnQhV~ME0bL4wcZ7o6~Vt42dZpY1gBGP~SlrSpOgMzv~RHKvokjHL4kpQLkp7-FlaCw7~X4Whl2BUwpNnvN0HViAxmvwRMQqgin~cKPpUuCMT6c~sAyYScQOywwePcrvmuolSfgz9xF8myOwJ5uGjNELDuP92Sdd2lNXfVvmTNFLq2~relgeCFy5ySDWc-X0g__\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="11508998"><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/11508998/Neural_markers_of_inhibition_in_human_memory_retrieval"><img alt="Research paper thumbnail of Neural markers of inhibition in human memory retrieval" class="work-thumbnail" src="https://attachments.academia-assets.com/46661693/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/11508998/Neural_markers_of_inhibition_in_human_memory_retrieval">Neural markers of inhibition in human memory retrieval</a></div><div class="wp-workCard_item"><span>The Journal of neuroscience : the official journal of the Society for Neuroscience</span><span>, Jan 10, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Retrieving particular information from memory facilitates the later retrieval of that information...</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">Retrieving particular information from memory facilitates the later retrieval of that information, but also impairs the later retrieval of related, interfering information. It has been theorized that this retrieval-induced forgetting reflects inhibition of interfering memory representations. We used event-related fMRI to investigate the functional neuroanatomy of this impaired retrieval, at the time the impairment is observed. Neural activity differences between impaired and facilitated information occurred in left ventrolateral prefrontal cortex (VLPFC, BA 45 and 47), precuneus (BA 7), and right inferior parietal lobule (IPL, BA 40). Activity in left anterior VLPFC (BA 47) and left posterior temporal cortex (BA 22), regions implicated in the controlled retrieval of weak semantic memory representations, predicted the degree of retrieval-induced forgetting. In contrast, activity in precuneus and right IPL predicted the degree of retrievalinduced facilitation. Our findings demonstrate that impairment of interfering memories and facilitation of practiced memories involve distinct neural processes, and suggest that the impairment reflects inhibition that weakens interfering memory representations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="89ce382b8216415cb26e4b2b85d8858b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661693,"asset_id":11508998,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661693/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="11508998"><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="11508998"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508998; 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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="11508997"><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/11508997/Retrieval_from_Episodic_Memory_Neural_Mechanisms_of_Interference_Resolution"><img alt="Research paper thumbnail of Retrieval from Episodic Memory: Neural Mechanisms of Interference Resolution" class="work-thumbnail" src="https://attachments.academia-assets.com/46661738/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/11508997/Retrieval_from_Episodic_Memory_Neural_Mechanisms_of_Interference_Resolution">Retrieval from Episodic Memory: Neural Mechanisms of Interference Resolution</a></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& Selectively retrieving a target memory among related memories requires some degree of inhibitor...</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">& Selectively retrieving a target memory among related memories requires some degree of inhibitory control over interfering and competing memories, a process assumed to be supported by inhibitory mechanisms. Evidence from behavioral studies suggests that such inhibitory control can lead to subsequent forgetting of the interfering information, a finding called retrieval-induced forgetting [Anderson, M. C., Bjork, R. A., & Bjork, E. L. Remembering can cause forgetting: Retrieval dynamics in long-term memory. Journal of Experimental Psychology: Learning, Memory & Cognition, 20, 1063-1087]. In the present functional magnetic resonance imaging study, we investigated the neural processes underlying retrievalinduced forgetting and, in particular, examined the extent to which these processes are retrieval (i.e., selection) specific.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fca3da41f004aadc41d22024fd2b503b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661738,"asset_id":11508997,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661738/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="11508997"><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="11508997"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508997; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11508997]").text(description); $(".js-view-count[data-work-id=11508997]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11508997; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11508997']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="11508996"><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/11508996/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task"><img alt="Research paper thumbnail of The Electrophysiological Dynamics of Interference during the Stroop Task" class="work-thumbnail" src="https://attachments.academia-assets.com/46661714/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/11508996/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task">The Electrophysiological Dynamics of Interference during the Stroop Task</a></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& If subjects are required to name the color of the word red printed in blue ink, interference be...</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 subjects are required to name the color of the word red printed in blue ink, interference between word meaning and ink color occurs, which slows down reaction time. This effect is well known as the Stroop effect. It is still an unresolved issue how the brain deals with interference in this type of task. To explore this question, an electroencephalogram (EEG) study was carried out. By analyzing several measures of EEG activity, two main findings emerged. First, the event-related potential (ERP) showed increased fronto-central negativity in a time window around 400 msec for incongruent items in contrast to congruent and neutral items. Source localization analysis revealed that a source in the anterior cingulate cortex (ACC) contributed most to the difference. Second, time-frequency analysis showed that theta oscillations (4-7 Hz) in the ACC increased linearly with increasing interference and that phase coupling between the ACC and the left prefrontal cortex was longer persistent for incongruent items compared to congruent and neutral items. These effects occurred at a time window around 600 msec. We conclude that interference between color naming and word meaning in the Stroop task manifests itself at around 400 msec and mainly activates the ACC. Thereafter, sustained phase coupling between the ACC and the prefrontal cortex occurs, which most likely reflects the engagement of cognitive control mechanisms. & D</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="64a2f50f9d9f43275b61e544fc7ac730" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661714,"asset_id":11508996,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661714/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="11508996"><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="11508996"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508996; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "64a2f50f9d9f43275b61e544fc7ac730" } } $('.js-work-strip[data-work-id=11508996]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11508996,"title":"The Electrophysiological Dynamics of Interference during the Stroop Task","internal_url":"https://www.academia.edu/11508996/The_Electrophysiological_Dynamics_of_Interference_during_the_Stroop_Task","owner_id":28052477,"coauthors_can_edit":true,"owner":{"id":28052477,"first_name":"Maria","middle_initials":null,"last_name":"Wimber","page_name":"MariaWimber","domain_name":"independent","created_at":"2015-03-18T08:00:50.822-07:00","display_name":"Maria Wimber","url":"https://independent.academia.edu/MariaWimber"},"attachments":[{"id":46661714,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46661714/thumbnails/1.jpg","file_name":"The_Electrophysiological_Dynamics_of_Int20160620-19167-gn4kko.pdf","download_url":"https://www.academia.edu/attachments/46661714/download_file","bulk_download_file_name":"The_Electrophysiological_Dynamics_of_Int.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46661714/The_Electrophysiological_Dynamics_of_Int20160620-19167-gn4kko-libre.pdf?1466481135=\u0026response-content-disposition=attachment%3B+filename%3DThe_Electrophysiological_Dynamics_of_Int.pdf\u0026Expires=1740855885\u0026Signature=e2XKNEm~GzoChBZH9iZEkQO1VeBaWeCeOeLn~B7IujsF3HUHJfT8rK5T6H5CoemF5514LQ2VuGJeJGK0ZhwlseB~11TOWAIS30JvyCBX0Area~0KLfUolfTyM-tCxe2gbnYrxNJvYf41RJjDu5lAaxVjGLH39t6AY5TmYfywRAXj42-VXFukrSa-nhnuQM~JfDOJW2js2FH7ZcdTeR7iCLuEVdIMF1G1VW-Oni5Q9o-mccXjk9xA5SN72A9dwh2ZC28awSESnmh5i8sZTjZa1DD8dn6KgrIau-6pTS8My4zYaulbYnQEoupH~vhFznDCHg09s7HRcUo9MANELsoP~w__\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="11508995"><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/11508995/Prestimulus_Oscillatory_Phase_at_7_Hz_Gates_Cortical_Information_Flow_and_Visual_Perception"><img alt="Research paper thumbnail of Prestimulus Oscillatory Phase at 7 Hz Gates Cortical Information Flow and Visual Perception" class="work-thumbnail" src="https://attachments.academia-assets.com/46661729/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/11508995/Prestimulus_Oscillatory_Phase_at_7_Hz_Gates_Cortical_Information_Flow_and_Visual_Perception">Prestimulus Oscillatory Phase at 7 Hz Gates Cortical Information Flow and Visual Perception</a></div><div class="wp-workCard_item"><span>Current Biology</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Although we have the impression that visual information flows continuously from our sensory chann...</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">Although we have the impression that visual information flows continuously from our sensory channels, recent studies indicate that this is likely not the case. Rather, we sample visual stimuli rhythmically, oscillating at 5-10 Hz . Electroencephalography (EEG) studies have demonstrated that this rhythmicity is reflected by the phase of ongoing brain oscillations in the same frequency . Theoretically, brain oscillations could underlie the rhythmic nature of perception by providing transient time windows for information exchange , but this question has not yet been systematically addressed. We recorded simultaneous EEG-fMRI while human participants performed a contour integration task and show that ongoing brain oscillations prior to stimulus onset predict functional connectivity between higher and lower level visual processing regions. Specifically, our results demonstrate that the phase of a 7 Hz oscillation prior to stimulus onset predicts perceptual performance and the bidirectional information flow between the left lateral occipital cortex and right intraparietal sulcus, as indicated by psychophysiological interaction and dynamic causal modeling. These findings suggest that human brain oscillations periodically gate visual perception at around 7 Hz by providing transient time windows for longdistance cortical information transfer. Such gating might be a general mechanism underlying the rhythmic nature of human perception.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="34f29eaeeecf2a21e14ea8ac30775633" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46661729,"asset_id":11508995,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46661729/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="11508995"><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="11508995"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11508995; 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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="11465695"><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/11465695/Retrieval_induces_adaptive_forgetting_of_competing_memories_via_cortical_pattern_suppression"><img alt="Research paper thumbnail of Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression" class="work-thumbnail" src="https://attachments.academia-assets.com/36996764/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/11465695/Retrieval_induces_adaptive_forgetting_of_competing_memories_via_cortical_pattern_suppression">Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression</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://cambridge.academia.edu/MichaelAnderson">Michael Anderson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MariaWimber">Maria Wimber</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://cambridge.academia.edu/IanCharest">Ian Charest</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Remembering a past experience can, surprisingly, cause forgetting. Forgetting arises when other c...</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">Remembering a past experience can, surprisingly, cause forgetting. Forgetting arises when other competing traces interfere with retrieval and inhibitory control mechanisms are engaged to suppress the distraction they cause. This form of forgetting is considered to be adaptive because it reduces future interference. The effect of this proposed inhibition process on competing memories has, however, never been observed, as behavioral methods are ‘blind’ to retrieval dynamics and neuroimaging methods have not isolated retrieval of individual memories. We developed a canonical template tracking method to quantify the activation state of individual target memories and competitors during retrieval. This method revealed that repeatedly retrieving target memories suppressed cortical patterns unique to competitors. Pattern suppression was related to engagement of prefrontal regions that have been implicated in resolving retrieval competition and, critically, predicted later forgetting. Thus, our findings demonstrate a cortical pattern suppression mechanism through which remembering adaptively shapes which aspects of our past remain accessible.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9c2f9bbe787866502df75231b92587af" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":36996764,"asset_id":11465695,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/36996764/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="11465695"><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="11465695"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11465695; 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