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if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://surrey.academia.edu/BertramOpitz","location":"/BertramOpitz","scheme":"https","host":"surrey.academia.edu","port":null,"pathname":"/BertramOpitz","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-29ef2580-095e-4c9b-846d-04581f144083"></div> <div id="ProfileCheckPaperUpdate-react-component-29ef2580-095e-4c9b-846d-04581f144083"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" 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" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Bertram Opitz</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://surrey.academia.edu/">University of Surrey</a>, <a class="u-tcGrayDarker" href="https://surrey.academia.edu/Departments/Psychology/Documents">Psychology</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Bertram" data-follow-user-id="33544653" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="33544653"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">42</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">10</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">9</p></div></a><div class="js-mentions-count-container" style="display: none;"><a href="/BertramOpitz/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data"></p></div></a></div><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">I’m interested in the cognitive mechanisms and neural underpinnings of the interplay between learning and memory. I'm also interested in the functional architecture of different memory systems and the processes by which information is transferred between these memory systems. My research topics include:<br />Second Language Acquisition<br />Feedback based Learning<br />Long-term (semantic) memory formation<br /><br />TEACHING<br />Module Convener Biological Basis of Psychology (UG)<br />Module Convener Neuropsychology (PGT)<br />Contributing to various neuroscience/ biopsychology modules at UG/PGT level<br /><br />currently supervising 2 PGR students in UK and Germany<br /><br />MANAGEMENT<br />Head of Brain and Cognitive Sciences Group <br />Chair of the Faculty Ethics Committee<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="suggested-academics-container"><div class="suggested-academics--header"><p class="ds2-5-body-md-bold">Related Authors</p></div><ul class="suggested-user-card-list"><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://independent.academia.edu/VojkanMihajlovi"><img 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class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Bertram Opitz</h3></div><div class="js-work-strip profile--work_container" data-work-id="81872046"><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/81872046/In_search_for_the_most_optimal_EEG_method_A_practical_evaluation_of_a_water_based_electrode_EEG_system"><img alt="Research paper thumbnail of In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system" class="work-thumbnail" src="https://attachments.academia-assets.com/87764679/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/81872046/In_search_for_the_most_optimal_EEG_method_A_practical_evaluation_of_a_water_based_electrode_EEG_system">In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system</a></div><div class="wp-workCard_item"><span>Brain and Neuroscience Advances</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study assessed a mobile electroencephalography system with water-based electrodes for its app...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The study assessed a mobile electroencephalography system with water-based electrodes for its applicability in cognitive and behavioural neuroscience. It was compared to a standard gel-based wired system. Electroencephalography was recorded on two occasions (first with gel-based, then water-based system) as participants completed the flanker task. Technical and practical considerations for the application of the water-based system are reported based on participant and experimenter experiences. Empirical comparisons focused on electroencephalography data noise levels, frequency power across four bands (theta, alpha, low beta and high beta) and event-related components (P300 and ERN). The water-based system registered more noise compared to the gel-based system which resulted in increased loss of data during artefact rejection. Signal-to-noise ratio was significantly lower for the water-based system in the parietal channels which affected the observed parietal beta power. It also led ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a7838b65787e316a1def026f7c00092b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87764679,"asset_id":81872046,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87764679/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="81872046"><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="81872046"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81872046; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a7838b65787e316a1def026f7c00092b" } } $('.js-work-strip[data-work-id=81872046]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":81872046,"title":"In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system","internal_url":"https://www.academia.edu/81872046/In_search_for_the_most_optimal_EEG_method_A_practical_evaluation_of_a_water_based_electrode_EEG_system","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"attachments":[{"id":87764679,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87764679/thumbnails/1.jpg","file_name":"23982128211053698.pdf","download_url":"https://www.academia.edu/attachments/87764679/download_file","bulk_download_file_name":"In_search_for_the_most_optimal_EEG_metho.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87764679/23982128211053698-libre.pdf?1655709637=\u0026response-content-disposition=attachment%3B+filename%3DIn_search_for_the_most_optimal_EEG_metho.pdf\u0026Expires=1740952108\u0026Signature=PYJcRmoaLOLLw-63SvLoTFvj2iMZGWta-kyZr4~htZIekJjr4x2FiJ5zakmuWZUCTy5IQ4qRuTcrZ1vx6ngW3~gsvQH8ZDjIWTHW6JpCmFEe~cQYERo0Av1LE6OLbWen2XNceTC1Kj1gJPmj1DySSHU8gPTyDQo9cR2-M7tqmH3PXD85xWtQQkz7u3m1JO9Y0F6uDR8cqxi-HvcQBDeDO~Pouyl1bMec-sFwsAB-BIikol8vEy~qtxpnfZrRXxSx2Q5nRXf0M4pUR5oMK8sMsjI-4380cBR1AIP~c88exU5V5dsuPgKSuZXzR0LYJ284b485phcJbYWmWboANarMgg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":87764680,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/87764680/thumbnails/1.jpg","file_name":"23982128211053698.pdf","download_url":"https://www.academia.edu/attachments/87764680/download_file","bulk_download_file_name":"In_search_for_the_most_optimal_EEG_metho.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/87764680/23982128211053698-libre.pdf?1655709637=\u0026response-content-disposition=attachment%3B+filename%3DIn_search_for_the_most_optimal_EEG_metho.pdf\u0026Expires=1740952108\u0026Signature=RGmOVQ22~z1vznNDffxoHea0KIKHk3LeLHRE6xD25mGhg0ESWjNgbUtjsk2Q4nFwmPJccvivZvLffR4eP-o4WsufoOTS~xYplKb1MHmVEba91CXF3US1D2mU3o7CnoRXmNIN2Hnntk~92Xgy6deyGw7pqMDQ4r7wo0VaW-mwAQoP~A8soQRGaaPiYNGQ4tRGTbDGmumorv8JJj5Z3Zu7jal6TD0aakFvYRlw3Cs6DsWuZN0TYOe680yOrqFrxIZWdv9QL-Y3~gQW3MME-~mI8HlyxAZUOdWL89f2luOTuMLEW0o2u9pYIZuJxyJycUcjrmuDwc7f46Mg00GUr4BxDA__\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="74205216"><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/74205216/Working_Memory_Capacity_but_Not_Prior_Knowledge_Impact_on_Readers_Attention_and_Text_Comprehension"><img alt="Research paper thumbnail of Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension" class="work-thumbnail" src="https://attachments.academia-assets.com/82437846/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/74205216/Working_Memory_Capacity_but_Not_Prior_Knowledge_Impact_on_Readers_Attention_and_Text_Comprehension">Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension</a></div><div class="wp-workCard_item"><span>Frontiers in Education</span><span>, Mar 31, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Reading digital texts is a common practice in today's education. Prior studies showed that the co...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Reading digital texts is a common practice in today's education. Prior studies showed that the coherence of a text can influence text comprehensibility with low degrees of coherence causing attention failures (mind wandering) and, consequently, negatively impacts reading comprehension. In addition, working memory capacity (WMC) and prior knowledge of the subject have been suggested to be related to both reading comprehension and mind wandering. However, results remain controversial as the interaction of these three factors has not yet been explored. Ninety participants either studying law or a different subject read either a coherent or incoherent version of the same unfamiliar hypertext about the copyright law. While reading, they reported self-caught mind wandering with task-embedded thought probes. After reading the hypertext, participants were tested on their text comprehension. Supporting prior findings, mind wandering did occur more frequently when participants read difficult rather than easy texts regardless of their undergraduate course. Moreover, this was modulated by WMC in that participants with lower WMC exhibited more frequent mind wandering than high WMC participants solely when reading low coherent texts. In addition, high WMC participants outperformed low WMC participants on all measures of text comprehension. With a low WMC it seems difficult to inhibit irrelevant information and access related information from working memory, especially when text complexity is high. Interestingly, the present results also indicate that prior knowledge benefits later text comprehension despite not affecting reader's attention. These findings provide insights into processing attention during reading online texts.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8edbe6fa0b1b8c60b45c068abf6e4dc6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82437846,"asset_id":74205216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82437846/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="74205216"><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="74205216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74205216; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8edbe6fa0b1b8c60b45c068abf6e4dc6" } } $('.js-work-strip[data-work-id=74205216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74205216,"title":"Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension","internal_url":"https://www.academia.edu/74205216/Working_Memory_Capacity_but_Not_Prior_Knowledge_Impact_on_Readers_Attention_and_Text_Comprehension","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"attachments":[{"id":82437846,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82437846/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/82437846/download_file","bulk_download_file_name":"Working_Memory_Capacity_but_Not_Prior_Kn.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82437846/pdf-libre.pdf?1647858790=\u0026response-content-disposition=attachment%3B+filename%3DWorking_Memory_Capacity_but_Not_Prior_Kn.pdf\u0026Expires=1740952108\u0026Signature=QVlRD~02~j5GZF9c9oQvxdyg9Mx7KDodU2GZe9fKz5zdDxvjT3S0kLgn6NEZjRdOAAZuQM2-5J-pSNcuwJMhuxBrG7KMijZdh8fqP606boiKlCZPZ2vq1t8D-S4uW4ymc7A5YRxDXDHOUUsMzDNgHmy94tqCcZnQ3cthiHmgqm7~TZWzODmntB7~dRzMgmiTHju7TlZqWttlG1cegmxXIJlujlrKcXW7~iWX9S0Kc59TtISoHLSXAX8vhLlXTtWCCwiP9LSIaL4FTEfGrZP~YcfceTCD-WKl1eUUI7V1VeQ7naZ8orOPSYsQhgpbgL3rJZKsZtWWPlBH4pro6yXP1g__\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="68073912"><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/68073912/Concurrence_of_rule_and_similarity_based_mechanisms_in_artificial_grammar_learning"><img alt="Research paper thumbnail of Concurrence of rule- and similarity-based mechanisms in artificial grammar learning" 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/68073912/Concurrence_of_rule_and_similarity_based_mechanisms_in_artificial_grammar_learning">Concurrence of rule- and similarity-based mechanisms in artificial grammar learning</a></div><div class="wp-workCard_item"><span>Cognitive psychology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A current theoretical debate regards whether rule-based or similarity-based learning prevails dur...</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">A current theoretical debate regards whether rule-based or similarity-based learning prevails during artificial grammar learning (AGL). Although the majority of findings are consistent with a similarity-based account of AGL it has been argued that these results were obtained only after limited exposure to study exemplars, and performance on subsequent grammaticality judgment tests has often been barely above chance level. In three experiments the conditions were investigated under which rule- and similarity-based learning could be applied. Participants were exposed to exemplars of an artificial grammar under different (implicit and explicit) learning instructions. The analysis of receiver operating characteristics (ROC) during a final grammaticality judgment test revealed that explicit but not implicit learning led to rule knowledge. It also demonstrated that this knowledge base is built up gradually while similarity knowledge governed the initial state of learning. Together these r...</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="68073912"><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="68073912"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68073912; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68073912]").text(description); $(".js-view-count[data-work-id=68073912]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68073912; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68073912']"); 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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Creatine supplementation has not been researched in mTBI, but shows some potential as a neuroprotective when administered prior to or after TBI. Consistent with creatine's cellular role, supplementation reduced neuronal damage, protected against the effects of cellular energy crisis and improved cognitive and somatic symptoms. A variety of factors influencing the efficacy of creatine supplementation are highlighted, as well as avenues for future research into the potential of supplementation as an intervention for mTBI. In particular, the slow neural uptake of creatine may mean that greater effects are achieved by pre-emptive supplementation in at-risk groups.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3f9e2814b207620adf5341b0310cfab3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52292321,"asset_id":32028523,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52292321/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="32028523"><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="32028523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32028523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32028523]").text(description); $(".js-view-count[data-work-id=32028523]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32028523; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32028523']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="29895862"><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/29895862/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing"><img alt="Research paper thumbnail of Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing" class="work-thumbnail" src="https://attachments.academia-assets.com/50360085/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/29895862/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing">Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing</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://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluating the positive and negative outcomes of our behaviour is important for action selection ...</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">Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d13a570eef0ec5c5b6623d71196a77a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360085,"asset_id":29895862,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360085/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="29895862"><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="29895862"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895862; 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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="29895863"><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/29895863/Timing_Matters_The_Impact_of_Immediate_and_Delayed_Feedback_on_Artificial_Language_Learning"><img alt="Research paper thumbnail of Timing Matters: The Impact of Immediate and Delayed Feedback on Artificial Language Learning" class="work-thumbnail" src="https://attachments.academia-assets.com/50360079/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/29895863/Timing_Matters_The_Impact_of_Immediate_and_Delayed_Feedback_on_Artificial_Language_Learning">Timing Matters: The Impact of Immediate and Delayed Feedback on Artificial Language Learning</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://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span>Frontiers in Human Neuroscience</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">non-grammatical and after some time of exposure perform this categorization task with an accuracy...</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">non-grammatical and after some time of exposure perform this categorization task with an accuracy greater than chance . The explanation of these learning effects in this and later work was that participants acquired an abstract representation of the underlying rules (see also , for a similar argument). A recently proposed theoretical account of category learning suggests that such rule sets are developed via a feedback-dependent, trial-and-error learning process. Indeed, increasing experimental evidence suggests that the development of an implicit rule set depends on reinforcement learning (RL): If people are not provided with explicit feedback, they do not learn the rules (e.g., . Furthermore, a recent study on L2 learning ) is also consistent with this proposal. In this study, the ERPs to auditorily presented correct and incorrect Italian sentences were compared in native and non-native speakers after brief exposure to correct Italian sentences of a similar structure without any feedback. Native speakers in this experiment exhibited an N400 followed by a P600 component in the ERP to incorrect sentences, indicating grammatical rule use . In contrast, non-native speakers did only show an N400. As no P600 to grammatical violations was observed, it can be inferred that non-native speakers did not acquire an abstract representation of the underlying syntactic rules after mere exposure to simple Italian sentences. From this it can be assumed that feedback is necessary for the acquisition of a grammatical rule set.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="af51b15d73e9744add1795a3828b87d0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360079,"asset_id":29895863,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360079/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="29895863"><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="29895863"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895863; 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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="29895868"><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/29895868/Learning_context_modulates_the_processing_of_expectancy_violations"><img alt="Research paper thumbnail of Learning context modulates the processing of expectancy violations" 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/29895868/Learning_context_modulates_the_processing_of_expectancy_violations">Learning context modulates the processing of expectancy violations</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://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span>Brain research</span><span>, Jan 10, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The detection of unexpected or unfavorable events is crucial for successful behavioral adaptation...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The detection of unexpected or unfavorable events is crucial for successful behavioral adaptation. There is a family of ERP components, the so-called error negativities, that has been associated with these detection processes. In the current study, we explored the functional characteristics of one of these components, the N2b which reflects the detection of unexpected events in a stream of stimuli in our environment, in more detail. In a sequence learning task, we found that the same type of deviant event elicited an N2b only when it conveyed information about the to-be-learned sequence, but not when it was rendered learning-irrelevant by means of task instruction. This supports the view that deviant events generate an error negativity in a similar way as committed errors and negative feedback. It also demonstrates that error monitoring processes are very flexible and can be tailored to the specific demands of the task at hand, i.e., expectancy violations only activate the error sys...</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="29895868"><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="29895868"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895868; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=29895868]").text(description); $(".js-view-count[data-work-id=29895868]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 29895868; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='29895868']"); 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" } } $('.js-work-strip[data-work-id=29895868]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29895868,"title":"Learning context modulates the processing of expectancy violations","internal_url":"https://www.academia.edu/29895868/Learning_context_modulates_the_processing_of_expectancy_violations","owner_id":56768260,"coauthors_can_edit":true,"owner":{"id":56768260,"first_name":"Nicola","middle_initials":null,"last_name":"Ferdinand","page_name":"NicolaFerdinand","domain_name":"uni-saarland","created_at":"2016-11-16T14:29:54.442-08:00","display_name":"Nicola Ferdinand","url":"https://uni-saarland.academia.edu/NicolaFerdinand"},"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="29895867"><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/29895867/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing"><img alt="Research paper thumbnail of Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing" class="work-thumbnail" src="https://attachments.academia-assets.com/50360080/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/29895867/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing">Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing</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://surrey.academia.edu/BertramOpitz">Bertram Opitz</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a></span></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, Aug 7, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluating the positive and negative outcomes of our behaviour is important for action selection ...</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">Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9809172ad7ce25a8d8a79691eb1b667a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360080,"asset_id":29895867,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360080/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="29895867"><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="29895867"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895867; 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26080061]").text(description); $(".js-view-count[data-work-id=26080061]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26080061; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26080061']"); 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" } } $('.js-work-strip[data-work-id=26080061]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26080061,"title":"Bader.2014.Npsya","internal_url":"https://www.academia.edu/26080061/Bader_2014_Npsya","owner_id":49980318,"coauthors_can_edit":true,"owner":{"id":49980318,"first_name":"Regine","middle_initials":null,"last_name":"Bader","page_name":"RegineBader","domain_name":"independent","created_at":"2016-06-13T00:11:48.785-07:00","display_name":"Regine Bader","url":"https://independent.academia.edu/RegineBader"},"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="16762476"><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/16762476/Oscillatory_correlates_of_retrieval_induced_forgetting_in_recognition_memory"><img alt="Research paper thumbnail of Oscillatory correlates of retrieval-induced forgetting in recognition memory" class="work-thumbnail" src="https://attachments.academia-assets.com/39169639/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/16762476/Oscillatory_correlates_of_retrieval_induced_forgetting_in_recognition_memory">Oscillatory correlates of retrieval-induced forgetting in recognition memory</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://independent.academia.edu/KarlheinzB%C3%A4uml">Karl-heinz Bäuml</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></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">Retrieval practice on a subset of previously studied material enhances later memory for practiced...</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">Retrieval practice on a subset of previously studied material enhances later memory for practiced material but can inhibit memory for related unpracticed material. The present study examines the effects of prior retrieval practice on evoked (ERPs) and induced (oscillatory power) measures of electrophysiological activity underlying recognition of practiced and unpracticed words. Compared to control material, recognition of unpracticed words was characterized by reduced amplitudes of the P2 ERP component and by reduced early (200-400 msec) oscillatory theta power. The reduction in P2 amplitude was associated with decreased evoked theta power but not with decreased theta phase locking (phase-locking index). Recognition of unpracticed material was further accompanied by a reduction in occipital gamma power (&gt;250 msec). In contrast, the beneficial effects of retrieval practice on practiced words were reflected by larger parietal ERP positivity (&gt;500 msec) and by a stronger decrease...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd21384a6866a2f2a2beffa7e57c845e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39169639,"asset_id":16762476,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39169639/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="16762476"><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="16762476"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16762476; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16764330"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/16764330/ERP_and_fMRI_Correlates_of_Target_and_Novelty_Processing"><img alt="Research paper thumbnail of ERP and fMRI Correlates of Target and Novelty Processing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/16764330/ERP_and_fMRI_Correlates_of_Target_and_Novelty_Processing">ERP and fMRI Correlates of Target and Novelty Processing</a></div><div class="wp-workCard_item"><span>Detection of Change</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16764330"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16764330"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764330; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764330]").text(description); $(".js-view-count[data-work-id=16764330]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764330; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764330']"); 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" } } $('.js-work-strip[data-work-id=16764330]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764330,"title":"ERP and fMRI Correlates of Target and Novelty Processing","internal_url":"https://www.academia.edu/16764330/ERP_and_fMRI_Correlates_of_Target_and_Novelty_Processing","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="16764329"><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/16764329/ERP_effects_of_meaningful_and_non_meaningful_sound_processing_in_anterior_temporal_patients"><img alt="Research paper thumbnail of ERP effects of meaningful and non-meaningful sound processing in anterior temporal patients" 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/16764329/ERP_effects_of_meaningful_and_non_meaningful_sound_processing_in_anterior_temporal_patients">ERP effects of meaningful and non-meaningful sound processing in anterior temporal patients</a></div><div class="wp-workCard_item"><span>Restorative neurology and neuroscience</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The contribution of the anterior temporal lobe to the processing of environmental sounds was inve...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The contribution of the anterior temporal lobe to the processing of environmental sounds was investigated in patients with primary lesions in the anterior portion of the left (ATL) and right (ATR) temporal lobe in comparison to healthy controls. Two controversial questions were addressed: (1) whether environmental sounds are processed similarly for meaning as language, and (2) whether task-dependent lateralized semantic and perceptual effects observed in earlier studies persist when testing environmental sounds independent of task. In an event-related brain potential (ERP) experiment we examined the effect of meaningful and non-meaningful novel sound processing in a novelty oddball paradigm. Healthy controls and both patient groups displayed a normal target P3b as well as a novelty P3a. In addition, while healthy controls differentiated non-meaningful and meaningful novel sounds in the novelty P3a at posterior lateral and midline electrode-sites, all patients showed this effect only...</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="16764329"><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="16764329"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764329; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764329]").text(description); $(".js-view-count[data-work-id=16764329]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764329; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764329']"); 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" } } $('.js-work-strip[data-work-id=16764329]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764329,"title":"ERP effects of meaningful and non-meaningful sound processing in anterior temporal patients","internal_url":"https://www.academia.edu/16764329/ERP_effects_of_meaningful_and_non_meaningful_sound_processing_in_anterior_temporal_patients","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="16764328"><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/16764328/Memory_function_and_the_hippocampus"><img alt="Research paper thumbnail of Memory function and the hippocampus" class="work-thumbnail" src="https://attachments.academia-assets.com/39170565/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/16764328/Memory_function_and_the_hippocampus">Memory function and the hippocampus</a></div><div class="wp-workCard_item"><span>Frontiers of neurology and neuroscience</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There has been a long tradition in memory research of adopting the view of a vital role of the me...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There has been a long tradition in memory research of adopting the view of a vital role of the medial temporal lobe and especially the hippocampus in declarative memory. Despite the broad support for this notion, there is an ongoing debate about what computations are performed by the different substructures. The present chapter summarizes several accounts of hippocampal functions in terms of the cognitive processes subserved by these structures, the information processed, and the underlying neural operations. Firstly, the value of the distinction between recollection and familiarity for the understanding of the role the hippocampus plays in memory is discussed. Then multiple lines of evidence for the role of the hippocampus in memory are considered. Cumulating evidence suggests that the hippocampus fosters the binding of disparate cortical representations of items and their spatiotemporal context into a coherent representation by means of a sparse conjunctive neural coding. This ass...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ef67e8a7441f068e476c3cabd5f5f9d3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39170565,"asset_id":16764328,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39170565/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="16764328"><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="16764328"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764328; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764328]").text(description); $(".js-view-count[data-work-id=16764328]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764328; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764328']"); 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: "ef67e8a7441f068e476c3cabd5f5f9d3" } } $('.js-work-strip[data-work-id=16764328]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764328,"title":"Memory function and the hippocampus","internal_url":"https://www.academia.edu/16764328/Memory_function_and_the_hippocampus","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"attachments":[{"id":39170565,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39170565/thumbnails/1.jpg","file_name":"0deec53748d803aa97000000.pdf","download_url":"https://www.academia.edu/attachments/39170565/download_file","bulk_download_file_name":"Memory_function_and_the_hippocampus.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39170565/0deec53748d803aa97000000-libre.pdf?1444807050=\u0026response-content-disposition=attachment%3B+filename%3DMemory_function_and_the_hippocampus.pdf\u0026Expires=1740952108\u0026Signature=ai1LpqFwDkdan~NzUQBlpHLVVQYBaTFeN-6lprJ~yTKni5SUJliSCt4QDOVNB99nVfjCDgI6-ibMDZYwbZaG8v~n2E0~kQEj69JP9zM~mQ6IL2dKv7QqkGgdf1tT1adonilZtiAE5qxqMBOTv2y3rGkRfvIHe5ePHbmw~osmA--UDDbfxCQE6g4AOIs0I~dnzZrp4AwqAqgJSI76v9or7iRNb-gJif2CQ6japkl32b9NjUS~efql~9mZ4CPvOmBVFzZTHUZv4kJyG4GsGcWSNpQ9Z5CIbolyR1Rff5BLMjQkMA3~DOdOxIBImQbzK8g6XlbuMTi60gChG1ChFSSUGQ__\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="16764327"><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/16764327/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing"><img alt="Research paper thumbnail of Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing" class="work-thumbnail" src="https://attachments.academia-assets.com/39170563/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/16764327/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing">Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing</a></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluating the positive and negative outcomes of our behaviour is important for action selection ...</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">Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bb68beae3b8407c5626d9e7e5e558564" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39170563,"asset_id":16764327,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39170563/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="16764327"><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="16764327"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764327; 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Optische Speicherplatte.</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="16764322"><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="16764322"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764322; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764322]").text(description); $(".js-view-count[data-work-id=16764322]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764322; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764322']"); 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" } } $('.js-work-strip[data-work-id=16764322]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764322,"title":"Funktionelle Neuroanatomie der Verarbeitung einfacher und komplexer akustischer Reize: Integration haemodynamischer und elektrophysiologischer Maße","internal_url":"https://www.academia.edu/16764322/Funktionelle_Neuroanatomie_der_Verarbeitung_einfacher_und_komplexer_akustischer_Reize_Integration_haemodynamischer_und_elektrophysiologischer_Ma%C3%9Fe","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="16764321"><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/16764321/Neural_binding_mechanisms_in_learning_and_memory"><img alt="Research paper thumbnail of Neural binding mechanisms in learning and memory" class="work-thumbnail" src="https://attachments.academia-assets.com/39170564/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/16764321/Neural_binding_mechanisms_in_learning_and_memory">Neural binding mechanisms in learning and memory</a></div><div class="wp-workCard_item"><span>Neuroscience & Biobehavioral Reviews</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Binding mechanisms are considered as basic cognitive operations, performing different functions i...</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">Binding mechanisms are considered as basic cognitive operations, performing different functions in learning and memory. This review will cover two of these binding mechanisms: relational binding of information about stimuli and actions with their spatio-temporal context into a circumscribed cognitive event and representational binding of feature representations common to a number of such events, thereby integrating these representations with existing knowledge and, thus, leading to decontextualized knowledge about the world. I will survey evidence from recent neuropsychological, electrophysiological and neuroimaging studies, including my own work, demonstrating that relational binding operations are performed within the hippocampal system, whereas representational binding is subserved by the surrounding medial temporal lobe cortex and prefrontal brain areas. I then present examples of conditions that differentially implement both binding mechanisms. Lastly, summarizing the extant literature on binding mechanisms I speculate on whether these binding mechanism operate in a similar way across different cognitive domains or whether they are domain-specific.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1968372ed86cdf993f902465ab73458d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39170564,"asset_id":16764321,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39170564/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="16764321"><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="16764321"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764321; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764321]").text(description); $(".js-view-count[data-work-id=16764321]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764321; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764321']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3320879" id="papers"><div class="js-work-strip profile--work_container" data-work-id="81872046"><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/81872046/In_search_for_the_most_optimal_EEG_method_A_practical_evaluation_of_a_water_based_electrode_EEG_system"><img alt="Research paper thumbnail of In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system" class="work-thumbnail" src="https://attachments.academia-assets.com/87764679/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/81872046/In_search_for_the_most_optimal_EEG_method_A_practical_evaluation_of_a_water_based_electrode_EEG_system">In search for the most optimal EEG method: A practical evaluation of a water-based electrode EEG system</a></div><div class="wp-workCard_item"><span>Brain and Neuroscience Advances</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study assessed a mobile electroencephalography system with water-based electrodes for its app...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The study assessed a mobile electroencephalography system with water-based electrodes for its applicability in cognitive and behavioural neuroscience. It was compared to a standard gel-based wired system. Electroencephalography was recorded on two occasions (first with gel-based, then water-based system) as participants completed the flanker task. Technical and practical considerations for the application of the water-based system are reported based on participant and experimenter experiences. Empirical comparisons focused on electroencephalography data noise levels, frequency power across four bands (theta, alpha, low beta and high beta) and event-related components (P300 and ERN). The water-based system registered more noise compared to the gel-based system which resulted in increased loss of data during artefact rejection. Signal-to-noise ratio was significantly lower for the water-based system in the parietal channels which affected the observed parietal beta power. It also led ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a7838b65787e316a1def026f7c00092b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":87764679,"asset_id":81872046,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/87764679/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="81872046"><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="81872046"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81872046; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81872046]").text(description); $(".js-view-count[data-work-id=81872046]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81872046; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='81872046']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="74205216"><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/74205216/Working_Memory_Capacity_but_Not_Prior_Knowledge_Impact_on_Readers_Attention_and_Text_Comprehension"><img alt="Research paper thumbnail of Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension" class="work-thumbnail" src="https://attachments.academia-assets.com/82437846/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/74205216/Working_Memory_Capacity_but_Not_Prior_Knowledge_Impact_on_Readers_Attention_and_Text_Comprehension">Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension</a></div><div class="wp-workCard_item"><span>Frontiers in Education</span><span>, Mar 31, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Reading digital texts is a common practice in today's education. Prior studies showed that the co...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Reading digital texts is a common practice in today's education. Prior studies showed that the coherence of a text can influence text comprehensibility with low degrees of coherence causing attention failures (mind wandering) and, consequently, negatively impacts reading comprehension. In addition, working memory capacity (WMC) and prior knowledge of the subject have been suggested to be related to both reading comprehension and mind wandering. However, results remain controversial as the interaction of these three factors has not yet been explored. Ninety participants either studying law or a different subject read either a coherent or incoherent version of the same unfamiliar hypertext about the copyright law. While reading, they reported self-caught mind wandering with task-embedded thought probes. After reading the hypertext, participants were tested on their text comprehension. Supporting prior findings, mind wandering did occur more frequently when participants read difficult rather than easy texts regardless of their undergraduate course. Moreover, this was modulated by WMC in that participants with lower WMC exhibited more frequent mind wandering than high WMC participants solely when reading low coherent texts. In addition, high WMC participants outperformed low WMC participants on all measures of text comprehension. With a low WMC it seems difficult to inhibit irrelevant information and access related information from working memory, especially when text complexity is high. Interestingly, the present results also indicate that prior knowledge benefits later text comprehension despite not affecting reader's attention. These findings provide insights into processing attention during reading online texts.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8edbe6fa0b1b8c60b45c068abf6e4dc6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82437846,"asset_id":74205216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82437846/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="74205216"><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="74205216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74205216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74205216]").text(description); $(".js-view-count[data-work-id=74205216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74205216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74205216']"); 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: "8edbe6fa0b1b8c60b45c068abf6e4dc6" } } $('.js-work-strip[data-work-id=74205216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74205216,"title":"Working Memory Capacity but Not Prior Knowledge Impact on Readers' Attention and Text Comprehension","internal_url":"https://www.academia.edu/74205216/Working_Memory_Capacity_but_Not_Prior_Knowledge_Impact_on_Readers_Attention_and_Text_Comprehension","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"attachments":[{"id":82437846,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82437846/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/82437846/download_file","bulk_download_file_name":"Working_Memory_Capacity_but_Not_Prior_Kn.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82437846/pdf-libre.pdf?1647858790=\u0026response-content-disposition=attachment%3B+filename%3DWorking_Memory_Capacity_but_Not_Prior_Kn.pdf\u0026Expires=1740952108\u0026Signature=QVlRD~02~j5GZF9c9oQvxdyg9Mx7KDodU2GZe9fKz5zdDxvjT3S0kLgn6NEZjRdOAAZuQM2-5J-pSNcuwJMhuxBrG7KMijZdh8fqP606boiKlCZPZ2vq1t8D-S4uW4ymc7A5YRxDXDHOUUsMzDNgHmy94tqCcZnQ3cthiHmgqm7~TZWzODmntB7~dRzMgmiTHju7TlZqWttlG1cegmxXIJlujlrKcXW7~iWX9S0Kc59TtISoHLSXAX8vhLlXTtWCCwiP9LSIaL4FTEfGrZP~YcfceTCD-WKl1eUUI7V1VeQ7naZ8orOPSYsQhgpbgL3rJZKsZtWWPlBH4pro6yXP1g__\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="68073912"><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/68073912/Concurrence_of_rule_and_similarity_based_mechanisms_in_artificial_grammar_learning"><img alt="Research paper thumbnail of Concurrence of rule- and similarity-based mechanisms in artificial grammar learning" 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/68073912/Concurrence_of_rule_and_similarity_based_mechanisms_in_artificial_grammar_learning">Concurrence of rule- and similarity-based mechanisms in artificial grammar learning</a></div><div class="wp-workCard_item"><span>Cognitive psychology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A current theoretical debate regards whether rule-based or similarity-based learning prevails dur...</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">A current theoretical debate regards whether rule-based or similarity-based learning prevails during artificial grammar learning (AGL). Although the majority of findings are consistent with a similarity-based account of AGL it has been argued that these results were obtained only after limited exposure to study exemplars, and performance on subsequent grammaticality judgment tests has often been barely above chance level. In three experiments the conditions were investigated under which rule- and similarity-based learning could be applied. Participants were exposed to exemplars of an artificial grammar under different (implicit and explicit) learning instructions. The analysis of receiver operating characteristics (ROC) during a final grammaticality judgment test revealed that explicit but not implicit learning led to rule knowledge. It also demonstrated that this knowledge base is built up gradually while similarity knowledge governed the initial state of learning. Together these r...</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="68073912"><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="68073912"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68073912; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68073912]").text(description); $(".js-view-count[data-work-id=68073912]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68073912; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='68073912']"); 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" } } $('.js-work-strip[data-work-id=68073912]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":68073912,"title":"Concurrence of rule- and similarity-based mechanisms in artificial grammar learning","internal_url":"https://www.academia.edu/68073912/Concurrence_of_rule_and_similarity_based_mechanisms_in_artificial_grammar_learning","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="32028523"><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/32028523/Potential_for_use_of_creatine_supplementation_following_mild_traumatic_brain_injury"><img alt="Research paper thumbnail of Potential for use of creatine supplementation following mild traumatic brain injury" class="work-thumbnail" src="https://attachments.academia-assets.com/52292321/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/32028523/Potential_for_use_of_creatine_supplementation_following_mild_traumatic_brain_injury">Potential for use of creatine supplementation following mild traumatic brain injury</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://surrey.academia.edu/PhilipDean">Philip Dean</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There is significant overlap between the neuropathology of mild traumatic brain injury (mTBI) and...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There is significant overlap between the neuropathology of mild traumatic brain injury (mTBI) and the cellular role of creatine, as well as evidence of neural creatine alterations after mTBI. Creatine supplementation has not been researched in mTBI, but shows some potential as a neuroprotective when administered prior to or after TBI. Consistent with creatine's cellular role, supplementation reduced neuronal damage, protected against the effects of cellular energy crisis and improved cognitive and somatic symptoms. A variety of factors influencing the efficacy of creatine supplementation are highlighted, as well as avenues for future research into the potential of supplementation as an intervention for mTBI. In particular, the slow neural uptake of creatine may mean that greater effects are achieved by pre-emptive supplementation in at-risk groups.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3f9e2814b207620adf5341b0310cfab3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52292321,"asset_id":32028523,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52292321/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="32028523"><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="32028523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32028523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32028523]").text(description); $(".js-view-count[data-work-id=32028523]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32028523; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32028523']"); 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: "3f9e2814b207620adf5341b0310cfab3" } } $('.js-work-strip[data-work-id=32028523]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32028523,"title":"Potential for use of creatine supplementation following mild traumatic brain injury","internal_url":"https://www.academia.edu/32028523/Potential_for_use_of_creatine_supplementation_following_mild_traumatic_brain_injury","owner_id":996373,"coauthors_can_edit":true,"owner":{"id":996373,"first_name":"Philip","middle_initials":null,"last_name":"Dean","page_name":"PhilipDean","domain_name":"surrey","created_at":"2011-11-29T18:27:49.522-08:00","display_name":"Philip Dean","url":"https://surrey.academia.edu/PhilipDean"},"attachments":[{"id":52292321,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/52292321/thumbnails/1.jpg","file_name":"Dean_2017_REVIEW_Creatine_mTBI.pdf","download_url":"https://www.academia.edu/attachments/52292321/download_file","bulk_download_file_name":"Potential_for_use_of_creatine_supplement.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/52292321/Dean_2017_REVIEW_Creatine_mTBI-libre.pdf?1490378573=\u0026response-content-disposition=attachment%3B+filename%3DPotential_for_use_of_creatine_supplement.pdf\u0026Expires=1740945789\u0026Signature=CPQaSwv9XqWbSr-o~KsJVlUXAgETKmQ4A8GzjrxmC9SR5ivykBObHUPUOOUgMcK~~XtoKtsOcs~ATk36K8R8UkFj-Whyhtc9cLUknVbt3sL2IDoH7yfe4Voav9yVOwBSCehQQyPIfe4s4n~mclQQb7Z0MDT01086WyQq3N~YLjCaksDvc1Eu61pOtnH2AMZvtO6jP9TuZDYHuEzcVi3yzVE8V~SeQRnH-lFfd~0zizcZvqwPvUFhcl~aCB0~6uBFiXtjIZDX~9W3~~6hOGEAYd3W1E6aaBN-yhCMdgkVk8b1MifgXSQUh1tUroZh97eVREyp7rwmVAUpEB1LydGSfA__\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="29895862"><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/29895862/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing"><img alt="Research paper thumbnail of Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing" class="work-thumbnail" src="https://attachments.academia-assets.com/50360085/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/29895862/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing">Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing</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://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluating the positive and negative outcomes of our behaviour is important for action selection ...</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">Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d13a570eef0ec5c5b6623d71196a77a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360085,"asset_id":29895862,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360085/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="29895862"><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="29895862"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895862; 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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="29895863"><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/29895863/Timing_Matters_The_Impact_of_Immediate_and_Delayed_Feedback_on_Artificial_Language_Learning"><img alt="Research paper thumbnail of Timing Matters: The Impact of Immediate and Delayed Feedback on Artificial Language Learning" class="work-thumbnail" src="https://attachments.academia-assets.com/50360079/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/29895863/Timing_Matters_The_Impact_of_Immediate_and_Delayed_Feedback_on_Artificial_Language_Learning">Timing Matters: The Impact of Immediate and Delayed Feedback on Artificial Language Learning</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://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span>Frontiers in Human Neuroscience</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">non-grammatical and after some time of exposure perform this categorization task with an accuracy...</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">non-grammatical and after some time of exposure perform this categorization task with an accuracy greater than chance . The explanation of these learning effects in this and later work was that participants acquired an abstract representation of the underlying rules (see also , for a similar argument). A recently proposed theoretical account of category learning suggests that such rule sets are developed via a feedback-dependent, trial-and-error learning process. Indeed, increasing experimental evidence suggests that the development of an implicit rule set depends on reinforcement learning (RL): If people are not provided with explicit feedback, they do not learn the rules (e.g., . Furthermore, a recent study on L2 learning ) is also consistent with this proposal. In this study, the ERPs to auditorily presented correct and incorrect Italian sentences were compared in native and non-native speakers after brief exposure to correct Italian sentences of a similar structure without any feedback. Native speakers in this experiment exhibited an N400 followed by a P600 component in the ERP to incorrect sentences, indicating grammatical rule use . In contrast, non-native speakers did only show an N400. As no P600 to grammatical violations was observed, it can be inferred that non-native speakers did not acquire an abstract representation of the underlying syntactic rules after mere exposure to simple Italian sentences. From this it can be assumed that feedback is necessary for the acquisition of a grammatical rule set.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="af51b15d73e9744add1795a3828b87d0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360079,"asset_id":29895863,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360079/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="29895863"><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="29895863"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895863; 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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="29895868"><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/29895868/Learning_context_modulates_the_processing_of_expectancy_violations"><img alt="Research paper thumbnail of Learning context modulates the processing of expectancy violations" 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/29895868/Learning_context_modulates_the_processing_of_expectancy_violations">Learning context modulates the processing of expectancy violations</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://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item"><span>Brain research</span><span>, Jan 10, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The detection of unexpected or unfavorable events is crucial for successful behavioral adaptation...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The detection of unexpected or unfavorable events is crucial for successful behavioral adaptation. There is a family of ERP components, the so-called error negativities, that has been associated with these detection processes. In the current study, we explored the functional characteristics of one of these components, the N2b which reflects the detection of unexpected events in a stream of stimuli in our environment, in more detail. In a sequence learning task, we found that the same type of deviant event elicited an N2b only when it conveyed information about the to-be-learned sequence, but not when it was rendered learning-irrelevant by means of task instruction. This supports the view that deviant events generate an error negativity in a similar way as committed errors and negative feedback. It also demonstrates that error monitoring processes are very flexible and can be tailored to the specific demands of the task at hand, i.e., expectancy violations only activate the error sys...</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="29895868"><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="29895868"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895868; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=29895868]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":29895868,"title":"Learning context modulates the processing of expectancy violations","internal_url":"https://www.academia.edu/29895868/Learning_context_modulates_the_processing_of_expectancy_violations","owner_id":56768260,"coauthors_can_edit":true,"owner":{"id":56768260,"first_name":"Nicola","middle_initials":null,"last_name":"Ferdinand","page_name":"NicolaFerdinand","domain_name":"uni-saarland","created_at":"2016-11-16T14:29:54.442-08:00","display_name":"Nicola Ferdinand","url":"https://uni-saarland.academia.edu/NicolaFerdinand"},"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="29895867"><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/29895867/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing"><img alt="Research paper thumbnail of Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing" class="work-thumbnail" src="https://attachments.academia-assets.com/50360080/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/29895867/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing">Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing</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://surrey.academia.edu/BertramOpitz">Bertram Opitz</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://uni-saarland.academia.edu/NicolaFerdinand">Nicola Ferdinand</a></span></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, Aug 7, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluating the positive and negative outcomes of our behaviour is important for action selection ...</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">Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9809172ad7ce25a8d8a79691eb1b667a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360080,"asset_id":29895867,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360080/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="29895867"><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="29895867"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 29895867; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26080061"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/26080061/Bader_2014_Npsya"><img alt="Research paper thumbnail of Bader.2014.Npsya" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/26080061/Bader_2014_Npsya">Bader.2014.Npsya</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RegineBader">Regine Bader</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26080061"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26080061"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26080061; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26080061]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26080061,"title":"Bader.2014.Npsya","internal_url":"https://www.academia.edu/26080061/Bader_2014_Npsya","owner_id":49980318,"coauthors_can_edit":true,"owner":{"id":49980318,"first_name":"Regine","middle_initials":null,"last_name":"Bader","page_name":"RegineBader","domain_name":"independent","created_at":"2016-06-13T00:11:48.785-07:00","display_name":"Regine Bader","url":"https://independent.academia.edu/RegineBader"},"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="16762476"><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/16762476/Oscillatory_correlates_of_retrieval_induced_forgetting_in_recognition_memory"><img alt="Research paper thumbnail of Oscillatory correlates of retrieval-induced forgetting in recognition memory" class="work-thumbnail" src="https://attachments.academia-assets.com/39169639/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/16762476/Oscillatory_correlates_of_retrieval_induced_forgetting_in_recognition_memory">Oscillatory correlates of retrieval-induced forgetting in recognition memory</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://independent.academia.edu/KarlheinzB%C3%A4uml">Karl-heinz Bäuml</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://surrey.academia.edu/BertramOpitz">Bertram Opitz</a></span></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">Retrieval practice on a subset of previously studied material enhances later memory for practiced...</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">Retrieval practice on a subset of previously studied material enhances later memory for practiced material but can inhibit memory for related unpracticed material. The present study examines the effects of prior retrieval practice on evoked (ERPs) and induced (oscillatory power) measures of electrophysiological activity underlying recognition of practiced and unpracticed words. Compared to control material, recognition of unpracticed words was characterized by reduced amplitudes of the P2 ERP component and by reduced early (200-400 msec) oscillatory theta power. The reduction in P2 amplitude was associated with decreased evoked theta power but not with decreased theta phase locking (phase-locking index). Recognition of unpracticed material was further accompanied by a reduction in occipital gamma power (&gt;250 msec). In contrast, the beneficial effects of retrieval practice on practiced words were reflected by larger parietal ERP positivity (&gt;500 msec) and by a stronger decrease...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd21384a6866a2f2a2beffa7e57c845e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39169639,"asset_id":16762476,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39169639/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="16762476"><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="16762476"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16762476; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16764330"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/16764330/ERP_and_fMRI_Correlates_of_Target_and_Novelty_Processing"><img alt="Research paper thumbnail of ERP and fMRI Correlates of Target and Novelty Processing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/16764330/ERP_and_fMRI_Correlates_of_Target_and_Novelty_Processing">ERP and fMRI Correlates of Target and Novelty Processing</a></div><div class="wp-workCard_item"><span>Detection of Change</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16764330"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16764330"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764330; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16764330]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764330,"title":"ERP and fMRI Correlates of Target and Novelty Processing","internal_url":"https://www.academia.edu/16764330/ERP_and_fMRI_Correlates_of_Target_and_Novelty_Processing","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="16764329"><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/16764329/ERP_effects_of_meaningful_and_non_meaningful_sound_processing_in_anterior_temporal_patients"><img alt="Research paper thumbnail of ERP effects of meaningful and non-meaningful sound processing in anterior temporal patients" 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/16764329/ERP_effects_of_meaningful_and_non_meaningful_sound_processing_in_anterior_temporal_patients">ERP effects of meaningful and non-meaningful sound processing in anterior temporal patients</a></div><div class="wp-workCard_item"><span>Restorative neurology and neuroscience</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The contribution of the anterior temporal lobe to the processing of environmental sounds was inve...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The contribution of the anterior temporal lobe to the processing of environmental sounds was investigated in patients with primary lesions in the anterior portion of the left (ATL) and right (ATR) temporal lobe in comparison to healthy controls. Two controversial questions were addressed: (1) whether environmental sounds are processed similarly for meaning as language, and (2) whether task-dependent lateralized semantic and perceptual effects observed in earlier studies persist when testing environmental sounds independent of task. In an event-related brain potential (ERP) experiment we examined the effect of meaningful and non-meaningful novel sound processing in a novelty oddball paradigm. Healthy controls and both patient groups displayed a normal target P3b as well as a novelty P3a. In addition, while healthy controls differentiated non-meaningful and meaningful novel sounds in the novelty P3a at posterior lateral and midline electrode-sites, all patients showed this effect only...</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="16764329"><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="16764329"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764329; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764329]").text(description); $(".js-view-count[data-work-id=16764329]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764329; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764329']"); 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" } } $('.js-work-strip[data-work-id=16764329]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764329,"title":"ERP effects of meaningful and non-meaningful sound processing in anterior temporal patients","internal_url":"https://www.academia.edu/16764329/ERP_effects_of_meaningful_and_non_meaningful_sound_processing_in_anterior_temporal_patients","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="16764328"><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/16764328/Memory_function_and_the_hippocampus"><img alt="Research paper thumbnail of Memory function and the hippocampus" class="work-thumbnail" src="https://attachments.academia-assets.com/39170565/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/16764328/Memory_function_and_the_hippocampus">Memory function and the hippocampus</a></div><div class="wp-workCard_item"><span>Frontiers of neurology and neuroscience</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There has been a long tradition in memory research of adopting the view of a vital role of the me...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There has been a long tradition in memory research of adopting the view of a vital role of the medial temporal lobe and especially the hippocampus in declarative memory. Despite the broad support for this notion, there is an ongoing debate about what computations are performed by the different substructures. The present chapter summarizes several accounts of hippocampal functions in terms of the cognitive processes subserved by these structures, the information processed, and the underlying neural operations. Firstly, the value of the distinction between recollection and familiarity for the understanding of the role the hippocampus plays in memory is discussed. Then multiple lines of evidence for the role of the hippocampus in memory are considered. Cumulating evidence suggests that the hippocampus fosters the binding of disparate cortical representations of items and their spatiotemporal context into a coherent representation by means of a sparse conjunctive neural coding. This ass...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ef67e8a7441f068e476c3cabd5f5f9d3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39170565,"asset_id":16764328,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39170565/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="16764328"><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="16764328"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764328; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764328]").text(description); $(".js-view-count[data-work-id=16764328]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764328; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764328']"); 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: "ef67e8a7441f068e476c3cabd5f5f9d3" } } $('.js-work-strip[data-work-id=16764328]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764328,"title":"Memory function and the hippocampus","internal_url":"https://www.academia.edu/16764328/Memory_function_and_the_hippocampus","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"attachments":[{"id":39170565,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39170565/thumbnails/1.jpg","file_name":"0deec53748d803aa97000000.pdf","download_url":"https://www.academia.edu/attachments/39170565/download_file","bulk_download_file_name":"Memory_function_and_the_hippocampus.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39170565/0deec53748d803aa97000000-libre.pdf?1444807050=\u0026response-content-disposition=attachment%3B+filename%3DMemory_function_and_the_hippocampus.pdf\u0026Expires=1740952108\u0026Signature=ai1LpqFwDkdan~NzUQBlpHLVVQYBaTFeN-6lprJ~yTKni5SUJliSCt4QDOVNB99nVfjCDgI6-ibMDZYwbZaG8v~n2E0~kQEj69JP9zM~mQ6IL2dKv7QqkGgdf1tT1adonilZtiAE5qxqMBOTv2y3rGkRfvIHe5ePHbmw~osmA--UDDbfxCQE6g4AOIs0I~dnzZrp4AwqAqgJSI76v9or7iRNb-gJif2CQ6japkl32b9NjUS~efql~9mZ4CPvOmBVFzZTHUZv4kJyG4GsGcWSNpQ9Z5CIbolyR1Rff5BLMjQkMA3~DOdOxIBImQbzK8g6XlbuMTi60gChG1ChFSSUGQ__\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="16764327"><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/16764327/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing"><img alt="Research paper thumbnail of Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing" class="work-thumbnail" src="https://attachments.academia-assets.com/39170563/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/16764327/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing">Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing</a></div><div class="wp-workCard_item"><span>Scientific Reports</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluating the positive and negative outcomes of our behaviour is important for action selection ...</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">Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bb68beae3b8407c5626d9e7e5e558564" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39170563,"asset_id":16764327,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39170563/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="16764327"><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="16764327"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764327; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764327]").text(description); $(".js-view-count[data-work-id=16764327]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764327; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764327']"); 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: "bb68beae3b8407c5626d9e7e5e558564" } } $('.js-work-strip[data-work-id=16764327]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764327,"title":"Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing","internal_url":"https://www.academia.edu/16764327/Different_aspects_of_performance_feedback_engage_different_brain_areas_Disentangling_valence_and_expectancy_in_feedback_processing","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"attachments":[{"id":39170563,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39170563/thumbnails/1.jpg","file_name":"540db0ae0cf2df04e7564eb6.pdf","download_url":"https://www.academia.edu/attachments/39170563/download_file","bulk_download_file_name":"Different_aspects_of_performance_feedbac.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39170563/540db0ae0cf2df04e7564eb6-libre.pdf?1444807050=\u0026response-content-disposition=attachment%3B+filename%3DDifferent_aspects_of_performance_feedbac.pdf\u0026Expires=1740952108\u0026Signature=P0ktnTDI6FoOBP7Fbmb0jaQRg9JQtOV1JaKzgo9hRmHvOHY4H1a4mfMBjamMOixpRag5OOwbneaI~sYET3AdA3Vnih5YsXBa81iqlO4I1p5CA3DWQt5C~QBpsDwonjWWx4yx3hHv0Htd1gauxNA~47l~dOnVXxN~mg8v-X~s3AOnNJm2Zx~G4bshThXoyj80rCB-0rfOTRxg7Sv1tzDsnwIAX-ejMxf2M56zh0yty0v~wDL2arzA2lG1pBPUcDnvOfccNGsstXdx4xt0E~MNMfWw3KSgGE28nkbMpUcubEO6VzQu6EWxqORL31JCXhsVEAO9OCadPxHms-IsJk9wnw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764323]").text(description); $(".js-view-count[data-work-id=16764323]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764323; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764323']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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Optische Speicherplatte.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16764322"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16764322"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764322; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16764322]").text(description); $(".js-view-count[data-work-id=16764322]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16764322; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16764322']"); 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" } } $('.js-work-strip[data-work-id=16764322]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16764322,"title":"Funktionelle Neuroanatomie der Verarbeitung einfacher und komplexer akustischer Reize: Integration haemodynamischer und elektrophysiologischer Maße","internal_url":"https://www.academia.edu/16764322/Funktionelle_Neuroanatomie_der_Verarbeitung_einfacher_und_komplexer_akustischer_Reize_Integration_haemodynamischer_und_elektrophysiologischer_Ma%C3%9Fe","owner_id":33544653,"coauthors_can_edit":true,"owner":{"id":33544653,"first_name":"Bertram","middle_initials":null,"last_name":"Opitz","page_name":"BertramOpitz","domain_name":"surrey","created_at":"2015-08-02T15:53:12.666-07:00","display_name":"Bertram Opitz","url":"https://surrey.academia.edu/BertramOpitz"},"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="16764321"><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/16764321/Neural_binding_mechanisms_in_learning_and_memory"><img alt="Research paper thumbnail of Neural binding mechanisms in learning and memory" class="work-thumbnail" src="https://attachments.academia-assets.com/39170564/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/16764321/Neural_binding_mechanisms_in_learning_and_memory">Neural binding mechanisms in learning and memory</a></div><div class="wp-workCard_item"><span>Neuroscience & Biobehavioral Reviews</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Binding mechanisms are considered as basic cognitive operations, performing different functions i...</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">Binding mechanisms are considered as basic cognitive operations, performing different functions in learning and memory. This review will cover two of these binding mechanisms: relational binding of information about stimuli and actions with their spatio-temporal context into a circumscribed cognitive event and representational binding of feature representations common to a number of such events, thereby integrating these representations with existing knowledge and, thus, leading to decontextualized knowledge about the world. I will survey evidence from recent neuropsychological, electrophysiological and neuroimaging studies, including my own work, demonstrating that relational binding operations are performed within the hippocampal system, whereas representational binding is subserved by the surrounding medial temporal lobe cortex and prefrontal brain areas. I then present examples of conditions that differentially implement both binding mechanisms. Lastly, summarizing the extant literature on binding mechanisms I speculate on whether these binding mechanism operate in a similar way across different cognitive domains or whether they are domain-specific.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1968372ed86cdf993f902465ab73458d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39170564,"asset_id":16764321,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39170564/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="16764321"><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="16764321"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16764321; 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