{"id":16170,"date":"2022-02-09T10:50:20","date_gmt":"2022-02-09T09:50:20","guid":{"rendered":"https:\/\/bernstein-network.de\/?page_id=16170"},"modified":"2026-03-05T11:44:18","modified_gmt":"2026-03-05T10:44:18","slug":"bernstein-conference-2021","status":"publish","type":"page","link":"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2021\/","title":{"rendered":"Bernstein Conference 2021"},"content":{"rendered":"<div id='av_section_1'  class='avia-section av-b4ovel-06213fab716bb7bdfbbdc021fdd14c9b main_color avia-section-default avia-no-border-styling  avia-builder-el-0  el_before_av_section  avia-builder-el-first  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><main  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" 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avia-builder-el-2  el_before_av_image  avia-builder-el-first '><h1 class='av-special-heading-tag '  >Bernstein Conference 2021<\/h1><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-gramt-c51768f408fb7b8e4e61c9214140d26e\">\n.avia-image-container.av-gramt-c51768f408fb7b8e4e61c9214140d26e img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-gramt-c51768f408fb7b8e4e61c9214140d26e .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-gramt-c51768f408fb7b8e4e61c9214140d26e av-styling-no-styling avia-align-center  avia-builder-el-3  el_after_av_heading  avia-builder-el-last '  ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-9649 avia-img-lazy-loading-not-9649 avia_image ' 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100vw, 2560px\" \/><\/div><\/div><\/div><\/p><\/div>\n\n<\/div><\/div><\/main><!-- close content main element --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-27i0jy-cf09d2d6f81b87422a4cec92229a0caf\">\n.avia-section.av-27i0jy-cf09d2d6f81b87422a4cec92229a0caf{\nbackground-color:#f5f7fa;\nbackground-image:unset;\n}\n<\/style>\n<div id='conferenceiconbox'  class='avia-section av-27i0jy-cf09d2d6f81b87422a4cec92229a0caf main_color avia-section-large avia-no-border-styling  avia-builder-el-4  el_after_av_section  el_before_av_section  avia-bg-style-scroll av-minimum-height av-minimum-height-25 av-height-25  container_wrap fullsize'   data-av_minimum_height_pc='25' data-av_min_height_opt='25'><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-5dt4eq-c445819d45749bf7f4effb421acb348e\">\n.flex_column.av-5dt4eq-c445819d45749bf7f4effb421acb348e{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-5dt4eq-c445819d45749bf7f4effb421acb348e av_one_third  avia-builder-el-5  el_before_av_one_third  avia-builder-el-first  first flex_column_div av-zero-column-padding  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kn64gdx5-a2d7f3078262234f13ba648fe01a42bd\">\n.iconbox.av-kn64gdx5-a2d7f3078262234f13ba648fe01a42bd .iconbox_icon{\nbackground-color:#f5f7fa;\nborder:1px solid #f5f7fa;\ncolor:#004c93;\n}\n.iconbox.av-kn64gdx5-a2d7f3078262234f13ba648fe01a42bd .iconbox_icon.avia-svg-icon svg:first-child{\nfill:#004c93;\nstroke:#004c93;\n}\n<\/style>\n<article  class='iconbox iconbox_top av-kn64gdx5-a2d7f3078262234f13ba648fe01a42bd av-no-box  avia-builder-el-6  el_before_av_textblock  avia-builder-el-first ' ><div class=\"iconbox_content\"><header class=\"entry-content-header\" aria-label=\"Icon: Location\"><div class='iconbox_icon heading-color avia-iconfont avia-font-entypo-fontello' data-av_icon='\ue842' data-av_iconfont='entypo-fontello'  ><\/div><h3 class='iconbox_content_title ' >Location<\/h3><\/header><div class='iconbox_content_container ' ><\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><br \/>\n<section  class='av_textblock_section av-lvappi0k-0e4eeba3dd792c6213851ff42229b57a '  ><div class='avia_textblock' ><p style=\"text-align: center;\">Online<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-3hkf1u-a829b70166e31c1577401c6d67bfe860\">\n.flex_column.av-3hkf1u-a829b70166e31c1577401c6d67bfe860{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-3hkf1u-a829b70166e31c1577401c6d67bfe860 av_one_third  avia-builder-el-8  el_after_av_one_third  el_before_av_one_third  flex_column_div av-zero-column-padding  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kn64gdx5-33-38cda0194f61105a1a04245f23b83020\">\n.iconbox.av-kn64gdx5-33-38cda0194f61105a1a04245f23b83020 .iconbox_icon{\nbackground-color:#f5f7fa;\nborder:1px solid #f5f7fa;\ncolor:#004c93;\n}\n.iconbox.av-kn64gdx5-33-38cda0194f61105a1a04245f23b83020 .iconbox_icon.avia-svg-icon svg:first-child{\nfill:#004c93;\nstroke:#004c93;\n}\n<\/style>\n<article  class='iconbox iconbox_top av-kn64gdx5-33-38cda0194f61105a1a04245f23b83020 av-no-box  avia-builder-el-9  el_before_av_textblock  avia-builder-el-first ' ><div class=\"iconbox_content\"><header class=\"entry-content-header\" aria-label=\"Icon: Date\"><div class='iconbox_icon heading-color avia-iconfont avia-font-entypo-fontello' data-av_icon='\ue85b' data-av_iconfont='entypo-fontello'  ><\/div><h3 class='iconbox_content_title ' >Date<\/h3><\/header><div class='iconbox_content_container ' ><\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><br \/>\n<section  class='av_textblock_section av-lvapqcjj-8a153d84feb90ca47320fe93965a1bee '  ><div class='avia_textblock' ><p style=\"text-align: center;\">Sep 21 \u2013 23<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-20pc8y-be6060b1a255d21109f14c85d4e7ea2f\">\n.flex_column.av-20pc8y-be6060b1a255d21109f14c85d4e7ea2f{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-20pc8y-be6060b1a255d21109f14c85d4e7ea2f av_one_third  avia-builder-el-11  el_after_av_one_third  avia-builder-el-last  flex_column_div av-zero-column-padding  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lvapwrwa-109a5f13556491965431ecdc68f84ceb\">\n.iconbox.av-lvapwrwa-109a5f13556491965431ecdc68f84ceb .iconbox_icon{\nbackground-color:#f5f7fa;\nborder:1px solid #f5f7fa;\ncolor:#004c93;\n}\n.iconbox.av-lvapwrwa-109a5f13556491965431ecdc68f84ceb .iconbox_icon.avia-svg-icon svg:first-child{\nfill:#004c93;\nstroke:#004c93;\n}\n<\/style>\n<article  class='iconbox iconbox_top av-lvapwrwa-109a5f13556491965431ecdc68f84ceb av-no-box  avia-builder-el-12  el_before_av_button  avia-builder-el-first ' ><div class=\"iconbox_content\"><header class=\"entry-content-header\" aria-label=\"Icon: Abstracts\"><div class='iconbox_icon heading-color avia-iconfont avia-font-entypo-fontello' data-av_icon='\ue84d' data-av_iconfont='entypo-fontello'  ><\/div><h3 class='iconbox_content_title ' >Abstracts<\/h3><\/header><div class='iconbox_content_container ' ><\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><br \/>\n<div  class='avia-button-wrap av-lvapreag-bb821bcacbab4df8e9c94a15d789ed08-wrap avia-button-center  avia-builder-el-13  el_after_av_icon_box  avia-builder-el-last '><a href='https:\/\/abstracts.g-node.org\/conference\/BC21\/abstracts#\/groups\/A'  class='avia-button av-lvapreag-bb821bcacbab4df8e9c94a15d789ed08 av-link-btn avia-icon_select-no avia-size-large avia-position-center avia-color-theme-color'  target=\"_blank\"  rel=\"noopener noreferrer\"  aria-label=\"Repository\"><span class='avia_iconbox_title' >Repository<\/span><\/a><\/div><\/p><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_3'  class='avia-section av-6bh0nx-d282bfbd0edf21892c9a9a222289b804 main_color avia-section-default avia-no-border-styling  avia-builder-el-14  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-6e17afa75c0f372244aff424e0878c4e\">\n.flex_column.av-ctlxp-6e17afa75c0f372244aff424e0878c4e{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-6e17afa75c0f372244aff424e0878c4e av_one_full  avia-builder-el-15  el_before_av_textblock  avia-builder-el-first  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-u7cakn-4753e035c299961926bb00a33e0c9973\">\n#top .av-special-heading.av-u7cakn-4753e035c299961926bb00a33e0c9973{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-u7cakn-4753e035c299961926bb00a33e0c9973 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-u7cakn-4753e035c299961926bb00a33e0c9973 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-u7cakn-4753e035c299961926bb00a33e0c9973 av-special-heading-h2 blockquote modern-quote  avia-builder-el-16  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  >Invited Lectures<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div><section  class='av_textblock_section av-kzguc70g-90219fd1e75d795d93b2b800e16a319a '  ><div class='avia_textblock' ><p><span data-contrast=\"auto\">The 2021 online Bernstein Conference focussed on the next generation in computational neuroscience. Therefore we give the floor to the new and rising names in the field.<\/span><span data-ccp-props=\"{\">\u00a0<\/span><\/p>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-31-49fe3371eddeb5419f85cdab29d9e590\">\n.flex_column.av-ctlxp-31-49fe3371eddeb5419f85cdab29d9e590{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-31-49fe3371eddeb5419f85cdab29d9e590 av_one_half  avia-builder-el-18  el_after_av_textblock  el_before_av_one_half  first flex_column_div av-zero-column-padding  column-top-margin'     ><p><section  class='av_textblock_section av-kn7alib6-146530f79059173e17fd83877639027d '  ><div class='avia_textblock' ><p><strong>Athena Akrami<\/strong> | University College London, UK<br \/>\n<em>Formation and update of sensory \u201cprior distributions\u201d in working memory and perceptual decision making tasks<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-29-5a1a5c748e4ec58bdb5749e8599215ce '  ><div class='avia_textblock' ><p><strong>Timothy Behrens<\/strong> | University of Oxford, UK<br \/>\n<em>Representing the structure of problems in the frontal hippocampal circuitry<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-28-0533072dac4fe0eb56fc43b193f322a5 '  ><div class='avia_textblock' ><p><strong>Nadine Gogolla<\/strong> | Max Planck Institute for Neurobiology, Martinsried, Germany<br \/>\n<em>Disentangling the neural basis of emotion<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-27-3224c6e3f9f7ca784a69bfe9261ac43d '  ><div class='avia_textblock' ><p><strong>Guillaume Hennequin<\/strong> | University of Cambridge, UK<br \/>\n<em>Failing to prepare is preparing to fail: a network theory of movement preparation and execution<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-26-26d81a2f96e0089dced885e8b427918a '  ><div class='avia_textblock' ><p><strong>Jennifer Li &amp; Drew Robson<\/strong> | Max Planck Institute for Biological Cybernetics, T\u00fcbingen, Germany<br \/>\n<em>A dynamical systems view of neuroethology: uncovering stateful computation during zebrafish foraging<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-25-d656425f5e6bcf75dc97cfd0de5516fc '  ><div class='avia_textblock' ><p><strong>Scott Linderman<\/strong> | Stanford University, USA<br \/>\n<em>Finding sequences in neural spike trains with Neyman-Scott processes<\/em><\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-30-a80cdb918bc6327fbbc06de2de68b79c\">\n.flex_column.av-ctlxp-30-a80cdb918bc6327fbbc06de2de68b79c{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-30-a80cdb918bc6327fbbc06de2de68b79c av_one_half  avia-builder-el-25  el_after_av_one_half  avia-builder-el-last  flex_column_div av-zero-column-padding  column-top-margin'     ><p><section  class='av_textblock_section av-kn7alib6-24-d190a3eea519404ea4c5ad166553f474 '  ><div class='avia_textblock' ><p><strong>Ashok Litwin-Kumar<\/strong> | Columbia University, New York City, USA<br \/>\n<em>Generalizing theories of cerebellum-like learning<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-22-62bd3a5374a5b382cc928140c4c23f57 '  ><div class='avia_textblock' ><p><strong>Ida Momennejad<\/strong> | Microsoft Research, New York City, USA<br \/>\n<em>Multi-scale Predictive Representations &amp; Human-like RL<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-21-0bf40cdc1552e1e79133302643d79cbf '  ><div class='avia_textblock' ><p><strong>Cristina Savin<\/strong> | New York University, New York City, USA<br \/>\n<em><span class=\"\">Task-specific routing of information in neural circuits via structured noise<\/span><\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-20-5f34b085114cbd97abdb6a3e5f671573 '  ><div class='avia_textblock' ><p><strong>Marion Silies<\/strong> | Johannes Gutenberg University, Mainz, Germany<br \/>\n<em>Strategies for vision in dynamically changing environments<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-19-9c131bfd2d604124261d8ae0d202f97a '  ><div class='avia_textblock' ><p><strong>Daniela Vallentin<\/strong> | Max Planck Institute for Ornithology, Seewiesen, Germany<br \/>\n<em>Neural control of vocal interactions in songbirds<br \/>\n<\/em><\/p>\n<\/div><\/section><\/p><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_4'  class='avia-section av-6bh0nx-32-e037f8b88a219dee50d4eb0863c73ba2 main_color avia-section-default avia-no-border-styling  avia-builder-el-31  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-23-8f166f60f761ec77d558f9ce8e564a53\">\n.flex_column.av-ctlxp-23-8f166f60f761ec77d558f9ce8e564a53{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-23-8f166f60f761ec77d558f9ce8e564a53 av_one_full  avia-builder-el-32  el_before_av_one_half  avia-builder-el-first  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-189agaz-2dfc60fcd46369eba97feb3ab8d42399\">\n#top .av-special-heading.av-189agaz-2dfc60fcd46369eba97feb3ab8d42399{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-189agaz-2dfc60fcd46369eba97feb3ab8d42399 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-189agaz-2dfc60fcd46369eba97feb3ab8d42399 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-189agaz-2dfc60fcd46369eba97feb3ab8d42399 av-special-heading-h2 blockquote modern-quote  avia-builder-el-33  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  >Valentin Braitenberg Award Winner<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-16-ff3ea4a4363b04669c09a5fc30c25502\">\n.flex_column.av-ctlxp-16-ff3ea4a4363b04669c09a5fc30c25502{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-16-ff3ea4a4363b04669c09a5fc30c25502 av_one_half  avia-builder-el-34  el_after_av_one_full  avia-builder-el-last  first flex_column_div av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-kn7alib6-18-91cfd1e97d5fbf0d4e6508940e6f466d '  ><div class='avia_textblock' ><p><strong>Eve Marder<\/strong> | Brandeis University, Waltham, USA<br \/>\n<em>Perturbations Reveal that Degenerate Circuits Hide Cryptic Individual Variability<\/em><\/p>\n<\/div><\/section><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_5'  class='avia-section av-6bh0nx-17-ad948718f23e8d9afb73341468957ef1 main_color avia-section-default avia-no-border-styling  avia-builder-el-36  el_after_av_section  el_before_av_one_fourth  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-15-b4b5fc2f3cf051b1a01172c4e17c1afd\">\n.flex_column.av-ctlxp-15-b4b5fc2f3cf051b1a01172c4e17c1afd{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-15-b4b5fc2f3cf051b1a01172c4e17c1afd av_one_full  avia-builder-el-37  el_before_av_one_half  avia-builder-el-first  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kxijjf-d9cce74459fea2d2a15d134178d561cc\">\n#top .av-special-heading.av-kxijjf-d9cce74459fea2d2a15d134178d561cc{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-kxijjf-d9cce74459fea2d2a15d134178d561cc .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-kxijjf-d9cce74459fea2d2a15d134178d561cc .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-kxijjf-d9cce74459fea2d2a15d134178d561cc av-special-heading-h2 blockquote modern-quote  avia-builder-el-38  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  >Contributed Talks<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-12-f34da57b208d7dd4eb7503d9111165c5\">\n.flex_column.av-ctlxp-12-f34da57b208d7dd4eb7503d9111165c5{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-12-f34da57b208d7dd4eb7503d9111165c5 av_one_half  avia-builder-el-39  el_after_av_one_full  el_before_av_one_half  first flex_column_div av-zero-column-padding  column-top-margin'     ><p><section  class='av_textblock_section av-kn7alib6-14-8592f134f698fbfdc260196599f61aad '  ><div class='avia_textblock' ><p><strong>Badr Albanna<\/strong> |University of Pittburgh, Pittsburgh PA, USA<em><br \/>\nDistinct synaptic plasticity mechanisms determine the diversity of cortical responses during behavior<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-10-e1472fff58814bc99582388a2fb4e295 '  ><div class='avia_textblock' ><p><strong>Manuel Beiran<\/strong> | \u00c9cole Normale Sup\u00e9rieure \u2013 PSL University, Paris, France<em><br \/>\nLearning parametric models of cognitive tasks through low-dimensional neural manifolds<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-9-c67d25e0887245d0383e57b25153960b '  ><div class='avia_textblock' ><p><strong>Yul HR Kang <\/strong>|University of Cambridge, Cambridge, United Kingdom<em><br \/>\nSpatial uncertainty provides a unifying account of navigation behavior and grid field deformations<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-8-63d292f96adf50f4493cadd3169fe62e '  ><div class='avia_textblock' ><p><strong>Anna Kutschireiter<\/strong> | Harvard Medical School, Boston MA, USA<br \/>\n<em>A Bayesian Perspective on the Fruit Fly\u2019s Internal Compass<\/em><\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-11-c04d9151de2db1ee3a6c0bf033d8790e\">\n.flex_column.av-ctlxp-11-c04d9151de2db1ee3a6c0bf033d8790e{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-11-c04d9151de2db1ee3a6c0bf033d8790e av_one_half  avia-builder-el-44  el_after_av_one_half  avia-builder-el-last  flex_column_div av-zero-column-padding  column-top-margin'     ><p><section  class='av_textblock_section av-kn7alib6-7-68a290e6f11702f24080a6e83717ab68 '  ><div class='avia_textblock' ><p><strong>Claire Meissner-Bernard<\/strong> | Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland<br \/>\n<em>Co-tuned, balanced excitation and inhibition in olfactory memory networks<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-5-41c02c7fe6859add72e9bba46260661c '  ><div class='avia_textblock' ><p><strong>Alireza Modirshanechi<\/strong> | Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland<br \/>\n<em>Novelty drives exploration, whereas surprise modulates learning: the interaction of novelty, surprise, and reward in human behavior<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-4-6ae4d35008f36814712d24d46fd4c2de '  ><div class='avia_textblock' ><p><strong>Torben Ott <\/strong>| Washington University in Saint Louis, USA<br \/>\n<em>Near-optimal time investments under uncertainty in humans, rats, and mice<br \/>\n<\/em><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-kn7alib6-3-852ec7059895438ac83de8f0a08efdad '  ><div class='avia_textblock' ><p><strong>Ahnaf Ashhab Pathan <\/strong>| Quantitative Neuroscience Lab, Systems Cortex, Dhaka, Bangladesh<em><br \/>\nFully topographic deep artificial neural network for reconstructing functional heterogeneity and internal representations of visual cortex<br \/>\n<\/em><\/p>\n<\/div><\/section><\/p><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_5'  class='main_color av_default_container_wrap container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-kn64mb3z-217ed71bda22a31ee7892444b90040a9 sc-av_one_fourth av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kn64mb3z-217ed71bda22a31ee7892444b90040a9\">\n.flex_column.av-kn64mb3z-217ed71bda22a31ee7892444b90040a9{\nborder-radius:0px 0px 0px 0px;\npadding:34px 20px 14px 25px;\nbackground-color:#f5f7fa;\n}\n<\/style>\n<div  class='flex_column av-kn64mb3z-217ed71bda22a31ee7892444b90040a9 av_one_fourth  avia-builder-el-49  el_after_av_section  el_before_av_three_fourth  avia-builder-el-first  first flex_column_table_cell av-equal-height-column av-align-middle avia-link-column av-column-link  '    data-link-column-url=\"https:\/\/vimeo.com\/showcase\/8949778\"  data-link-column-target=\"_blank\"   ><a class=\"av-screen-reader-only\" href=https:\/\/vimeo.com\/showcase\/8949778  target=\"_blank\" >Follow a manual added link<\/a><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ikr13m-9b16fb40808eb5f98f6db213995ed5ba\">\n#top .av-special-heading.av-ikr13m-9b16fb40808eb5f98f6db213995ed5ba{\npadding-bottom:0;\n}\nbody .av-special-heading.av-ikr13m-9b16fb40808eb5f98f6db213995ed5ba .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-ikr13m-9b16fb40808eb5f98f6db213995ed5ba .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-ikr13m-9b16fb40808eb5f98f6db213995ed5ba av-special-heading-h4 blockquote modern-quote  avia-builder-el-50  avia-builder-el-no-sibling '><h4 class='av-special-heading-tag '  >Our Community<\/h4><div class='av-subheading av-subheading_below'><p>Watch what the community says about the Bernstein Conference.<\/p>\n<\/div><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<div class='av-flex-placeholder'><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-4d7e4y-8a1f40fb150122fddb108d264cb800b1\">\n.flex_column.av-4d7e4y-8a1f40fb150122fddb108d264cb800b1{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-4d7e4y-8a1f40fb150122fddb108d264cb800b1 av_three_fourth  avia-builder-el-51  el_after_av_one_fourth  el_before_av_one_fourth  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  '     ><div  class='avia-video av-ktsdrou5-368b1136eff2220ef3bd3fd847d3fe5b avia-video-16-9 av-no-preview-image avia-video-load-always av-lazyload-immediate av-lazyload-video-embed'  data-original_url='https:\/\/vimeo.com\/609594108?share=copy'><script type='text\/html' class='av-video-tmpl'><div class='avia-iframe-wrap'><iframe loading=\"lazy\" src=\"https:\/\/player.vimeo.com\/video\/609594108?dnt=1&amp;app_id=122963&autoplay=0&loop=0&controls=1&muted=0\" width=\"1280\" height=\"720\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write\"><\/iframe><\/div><\/script><div class='av-click-to-play-overlay'><div class=\"avia_playpause_icon\"><\/div><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<div class='flex_column_table av-24dx9d3-376f45eabc912d5fa0c693f856f5e060 sc-av_one_fourth av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-24dx9d3-376f45eabc912d5fa0c693f856f5e060\">\n.flex_column.av-24dx9d3-376f45eabc912d5fa0c693f856f5e060{\nborder-radius:0px 0px 0px 0px;\npadding:34px 20px 14px 25px;\nbackground-color:#f5f7fa;\n}\n<\/style>\n<div  class='flex_column av-24dx9d3-376f45eabc912d5fa0c693f856f5e060 av_one_fourth  avia-builder-el-53  el_after_av_three_fourth  el_before_av_three_fourth  first flex_column_table_cell av-equal-height-column av-align-middle avia-link-column av-column-link  column-top-margin'    data-link-column-url=\"https:\/\/vimeo.com\/showcase\/8949778\"  data-link-column-target=\"_blank\"   ><a class=\"av-screen-reader-only\" href=https:\/\/vimeo.com\/showcase\/8949778  target=\"_blank\" >Follow a manual added link<\/a><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1kq0v3b-3b780fcb12373f1cd55437713b636a81\">\n#top .av-special-heading.av-1kq0v3b-3b780fcb12373f1cd55437713b636a81{\npadding-bottom:0;\n}\nbody .av-special-heading.av-1kq0v3b-3b780fcb12373f1cd55437713b636a81 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-1kq0v3b-3b780fcb12373f1cd55437713b636a81 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-1kq0v3b-3b780fcb12373f1cd55437713b636a81 av-special-heading-h4 blockquote modern-quote  avia-builder-el-54  avia-builder-el-no-sibling '><h4 class='av-special-heading-tag '  >Talk Collection 2021<\/h4><div class='av-subheading av-subheading_below'><p>Here you&#8217;ll find invited and contributed talks from the Bernstein Conference 2021 online.<\/p>\n<\/div><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<div class='av-flex-placeholder'><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1cassp3-f5df7a358ef43c02f7aa2f02c2800813\">\n.flex_column.av-1cassp3-f5df7a358ef43c02f7aa2f02c2800813{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-1cassp3-f5df7a358ef43c02f7aa2f02c2800813 av_three_fourth  avia-builder-el-55  el_after_av_one_fourth  el_before_av_section  avia-builder-el-last  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding  column-top-margin'     ><div  class='avia-video av-2b4giv-43fc2ab5ae10c7f06b982ce6ce9c5b5e avia-video-16-9 av-no-preview-image avia-video-load-always av-lazyload-immediate av-lazyload-video-embed'  data-original_url='https:\/\/vimeo.com\/showcase\/8949778'><script type='text\/html' class='av-video-tmpl'><div class='avia-iframe-wrap'><iframe title=\"Bernstein Conference 2021\" src=\"https:\/\/vimeo.com\/showcase\/8949778\/embed\" width=1500 height=844 allowfullscreen frameborder=\"0\"><\/iframe><\/div><\/script><div class='av-click-to-play-overlay'><div class=\"avia_playpause_icon\"><\/div><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_6'  class='avia-section av-6bh0nx-13-62a2c98ad3c4ae0247d52583b9335565 main_color avia-section-default avia-no-border-styling  avia-builder-el-57  el_after_av_three_fourth  el_before_av_submenu  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-16170'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-6-29a25517fcad05448f7577c46af7e6a9\">\n.flex_column.av-ctlxp-6-29a25517fcad05448f7577c46af7e6a9{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-6-29a25517fcad05448f7577c46af7e6a9 av_one_full  avia-builder-el-58  el_before_av_one_full  avia-builder-el-first  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-5b1w2wb-ff57cee67c330f891231610008f109cd\">\n#top .av-special-heading.av-5b1w2wb-ff57cee67c330f891231610008f109cd{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-5b1w2wb-ff57cee67c330f891231610008f109cd .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-5b1w2wb-ff57cee67c330f891231610008f109cd .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-5b1w2wb-ff57cee67c330f891231610008f109cd av-special-heading-h2 blockquote modern-quote  avia-builder-el-59  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  >Satellite Workshops<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ctlxp-2-eb10304ccfd873f67f00f728eb681545\">\n.flex_column.av-ctlxp-2-eb10304ccfd873f67f00f728eb681545{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ctlxp-2-eb10304ccfd873f67f00f728eb681545 av_one_full  avia-builder-el-60  el_after_av_one_full  avia-builder-el-last  first flex_column_div av-zero-column-padding  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kd4m4nu0-627f9b87a879b2f4ce68ddf2fcc9123d\">\n#top .togglecontainer.av-kd4m4nu0-627f9b87a879b2f4ce68ddf2fcc9123d p.toggler{\nborder-color:#ebebeb;\n}\n#top .togglecontainer.av-kd4m4nu0-627f9b87a879b2f4ce68ddf2fcc9123d .toggle_wrap .toggle_content{\nborder-color:#ebebeb;\n}\n<\/style>\n<div  class='togglecontainer av-kd4m4nu0-627f9b87a879b2f4ce68ddf2fcc9123d av-elegant-toggle  avia-builder-el-61  avia-builder-el-no-sibling ' >\n<section class='av_toggle_section av-4nyxdvv-e8cd33e86bfc905c2af175551be4e157' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-crossing-scales-understanding-collective-neural-activity' data-fake-id='#crossing-scales-understanding-collective-neural-activity' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='crossing-scales-understanding-collective-neural-activity' data-slide-speed=\"200\" data-title=\"Brain Criticality: The Past, the Present and the Future&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Dante Chialvo, Claudius Gros&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Brain Criticality: The Past, the Present and the Future&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Dante Chialvo, Claudius Gros&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Brain Criticality: The Past, the Present and the Future&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Dante Chialvo, Claudius Gros&lt;\/span&gt;\">Brain Criticality: The Past, the Present and the Future<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Dante Chialvo, Claudius Gros<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='crossing-scales-understanding-collective-neural-activity' aria-labelledby='toggle-crossing-scales-understanding-collective-neural-activity' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p>The animals&#8217; adaptive behavior depends on their brain&#8217;s ability to sustain a large repertoire of spatio-temporal activity patterns. A fundamental problem in neuroscience is to understand the mechanisms by which brains can produce in a robust and flexible manner a huge range of neuronal dynamical configurations. A plausible solution, coming from statistical physics, invokes the emergence of complex phenomena exhibited universally by dynamical systems poised near a critical point of a second-order phase transition. In the last decade, work on this so called &#8220;brain criticality hypothesis&#8221; attracted attention across disciplines.<\/p>\n<p class=\"p1\">The aim of the workshop is to provide a discussion forum for the perspective of the field: where do we stand, which are open issues, and where to go from here. The emphasis is not on technical presentation, but on a controversial assessment of the field. The workshop is connected to the &#8220;<a href=\"https:\/\/iopscience.iop.org\/journal\/2632-072X\/page\/Focus_on_Criticality_and_Complexity_in_Brain_Dynamics\" target=\"_blank\" rel=\"noopener\">Focus on Criticality and Complexity in Brain Dynamics<\/a>&#8220;, edited by the workshop organizers.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\">Dietmar Plenz<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\">Claudius Gros<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\">Stefanie Miller<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\">Anna Levina<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\">Joern Davidsen<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"6\" data-aria-level=\"1\">Christian Meisel<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"7\" data-aria-level=\"1\">Serena di Sant<\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" aria-setsize=\"-1\" data-aria-posinset=\"8\" data-aria-level=\"1\">Miguel Munoz<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-4bozbjf-fac4c664789851f3cb1da3de64c13413' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-dynamic-probabilistic-inference-in-the-brain' data-fake-id='#dynamic-probabilistic-inference-in-the-brain' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='dynamic-probabilistic-inference-in-the-brain' data-slide-speed=\"200\" data-title=\"Control mechanisms for contextual computations and behavior&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Lorenzo Fontolan, Carlos Stein Brito&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Control mechanisms for contextual computations and behavior&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Lorenzo Fontolan, Carlos Stein Brito&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Control mechanisms for contextual computations and behavior&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Lorenzo Fontolan, Carlos Stein Brito&lt;\/span&gt;\">Control mechanisms for contextual computations and behavior<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Lorenzo Fontolan, Carlos Stein Brito<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='dynamic-probabilistic-inference-in-the-brain' aria-labelledby='toggle-dynamic-probabilistic-inference-in-the-brain' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p class=\"p1\">Throughout evolution, the nervous system has developed the ability to not only assign the appropriate responses to certain sensory stimuli, but also to rapidly switch to a different behavioral outcome according to context. Contextual information can be static, as in the encoding of a given set of relationships between items, or vary in time, as for the sense of urgency when we are late to the train station. To enable flexible, context-dependent decision-making, the brain must implement specific computational processes that reflect contextual information and dynamically modulate the activity in the brain areas where decisions are formed. Flexibility in neural processing of sensory information occurs in a matter of seconds, an interval too short for modifications of anatomical connections between sensory and executive areas. Hence, information flow must be flexibly routed via rapid changes in the neural communication between areas.<\/p>\n<p class=\"p1\">The goal of this workshop is to discuss novel mechanisms of contextual control, with focus on fast reconfiguration of functional connectivity via circuit dynamics, neuromodulators and inhibitory pathways.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Joe Patoe<\/li>\n<li>Klaus Wimmer<\/li>\n<li>Ann Kennedy<\/li>\n<li>Robert Froemke<\/li>\n<li>Kiyohito Iigaya<\/li>\n<li>Lea Duncker<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-3ww8nfv-cb03bb0a33ece69ac34e3d1ed86edf54' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-frontiers-in-the-evolution-of-neuronal-computation' data-fake-id='#frontiers-in-the-evolution-of-neuronal-computation' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='frontiers-in-the-evolution-of-neuronal-computation' data-slide-speed=\"200\" data-title=\"Distributed Representation in RL: from AI to Dopamine&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Paul Masset, Pablo Tano&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Distributed Representation in RL: from AI to Dopamine&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Paul Masset, Pablo Tano&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Distributed Representation in RL: from AI to Dopamine&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Paul Masset, Pablo Tano&lt;\/span&gt;\">Distributed Representation in RL: from AI to Dopamine<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Paul Masset, Pablo Tano<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='frontiers-in-the-evolution-of-neuronal-computation' aria-labelledby='toggle-frontiers-in-the-evolution-of-neuronal-computation' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p class=\"p1\">The temporal difference (TD) theory of dopaminergic activity in the basal ganglia has been one of the most influential ideas in neuroscience during the last two decades. It remains one of the few examples where a normative computation has been assigned to a genetically defined cell type. However, recent experimental work expanding the anatomical locations of recordings and the task designs has shown heterogeneity in dopamine responses that is not readily explained within the canonical TD framework. On the other hand, recent progress in AI has shown that extending the TD learning rule allows agents to learn more powerful representations that lead to improved performance in various domains. For example, improved performance has been obtained by extending the TD rule to learn the entire value distribution of states (instead of just their expectation), the expected values of states with multiple temporal discounts (instead of a single one) and the dynamics of transitions in the environment.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Peter Dayan<\/li>\n<li>Mitsuko Watabe-Uchida<\/li>\n<li>Marc Bellemare<\/li>\n<li>Rachel Lee<\/li>\n<li>Jan Drugowitsch<\/li>\n<li>Martha White<\/li>\n<li>Arif Hamid<\/li>\n<li>Jakob Foerster<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-3ismh2j-1d6e092acb6c49569de8cffe67fa8346' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-inferring-and-testing-optimality-in-perception-and-neurons' data-fake-id='#inferring-and-testing-optimality-in-perception-and-neurons' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='inferring-and-testing-optimality-in-perception-and-neurons' data-slide-speed=\"200\" data-title=\"Frequency-preference responses to external perturbations: from neurons to networks&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Rodrigo F.O. Pena, Horacio G. Rotstein&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Frequency-preference responses to external perturbations: from neurons to networks&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Rodrigo F.O. Pena, Horacio G. Rotstein&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Frequency-preference responses to external perturbations: from neurons to networks&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Rodrigo F.O. Pena, Horacio G. Rotstein&lt;\/span&gt;\">Frequency-preference responses to external perturbations: from neurons to networks<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Rodrigo F.O. Pena, Horacio G. Rotstein<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='inferring-and-testing-optimality-in-perception-and-neurons' aria-labelledby='toggle-inferring-and-testing-optimality-in-perception-and-neurons' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p>Neuronal oscillations have been observed at many interacting levels of neuronal organization in the brain. Several structures process information in a frequency-dependent manner. Often frequency-dependent processing occurs not only at the circuit level, but also at the level of neurons and synapses, which possess frequency-filtering properties. Neuronal resonance generically refers to the ability of neuronal systems to exhibit an amplified response to oscillatory inputs at a preferred frequency band, and is often associated with preferred frequency phase responses. There is evidence that neuronal populations can maintain selective communication through oscillatory synchrony and that cognitive functions are flexibly chosen through such a mechanism.<\/p>\n<p>The goal of this workshop is to gather theoreticians and experimentalists who work on these issues from different perspectives and focus on different levels of organization and the interactions between them. The topics will cover, but are not limited to, subthreshold, spiking and network resonance, oscillatory synchrony, communication through coherence, entrainment, cognitive flexibility, cross level interactions.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Pascal Fries<\/li>\n<li>Arvind Kumar<\/li>\n<li>Jorge Mejias<\/li>\n<li>Farzan Nadim<\/li>\n<li>Carmen Canavier<\/li>\n<li>Rodrigo Pena<\/li>\n<li>Michelle McCarthy<\/li>\n<li>Eran Stark<\/li>\n<li>Horacio G. Rotstein<\/li>\n<li>Warren M. Grill<\/li>\n<li>Zeinab Esmaeilpour<\/li>\n<li>John White<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-316ujm3-4be2e581bf572d70355a318573ac88bc' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-leveraging-open-datasets-from-the-allen-brain-observatory-for-computational-neuroscience' data-fake-id='#leveraging-open-datasets-from-the-allen-brain-observatory-for-computational-neuroscience' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='leveraging-open-datasets-from-the-allen-brain-observatory-for-computational-neuroscience' data-slide-speed=\"200\" data-title=\"Heterogeneous distribution of synaptic weights: experiments and theory&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Francesco Fumarola, Lukasz Kusmierz&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Heterogeneous distribution of synaptic weights: experiments and theory&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Francesco Fumarola, Lukasz Kusmierz&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Heterogeneous distribution of synaptic weights: experiments and theory&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Francesco Fumarola, Lukasz Kusmierz&lt;\/span&gt;\">Heterogeneous distribution of synaptic weights: experiments and theory<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Francesco Fumarola, Lukasz Kusmierz<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='leveraging-open-datasets-from-the-allen-brain-observatory-for-computational-neuroscience' aria-labelledby='toggle-leveraging-open-datasets-from-the-allen-brain-observatory-for-computational-neuroscience' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p>Numerous experimental findings have pointed out that correlates of synaptic efficacy are distributed in a heterogeneous manner, spanning a few orders of magnitude, with many weak and very few strong synapses. However, how such heterogeneity emerges through development and plasticity, and what functional role it plays in neuronal circuits, is still not well understood. There is currently no common conceptual framework to study this aspect of neural organization, and most theoretical models rely on overly simplifying assumptions about the underlying synaptic weight distribution.<\/p>\n<p>To fill this gap, we have invited experimental and theoretical neuroscientists to exchange recent results and ideas that link heterogeneity in synaptic weights, synaptic plasticity, neural dynamics, and computation. The objective of this workshop is to bring together researchers who approach these links from diverse viewpoints and techniques. In doing so, we hope to encourage discussions and new collaborations, and to collate various models that concern the functional role of heterogeneity in synaptic weights. An important subgoal of the workshop is to devise robust experimental designs that can challenge the proposed theoretical models and interpretations.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Florencia Iacaruso<\/li>\n<li>Pulin Gong<\/li>\n<li>Simon Rumpel<\/li>\n<li>Julijana Gjorgjieva<\/li>\n<li>Sven Dorkenwald<\/li>\n<li>Ramin Khajeh<\/li>\n<li>Merav Stern<\/li>\n<li>Carl Petersen<\/li>\n<li>Lukasz Kusmierz<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-2ps3ld7-51d29734e55f15d67d8a34352022ac63' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-neural-computations-learning-and-dynamics-in-recurrent-networks' data-fake-id='#neural-computations-learning-and-dynamics-in-recurrent-networks' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='neural-computations-learning-and-dynamics-in-recurrent-networks' data-slide-speed=\"200\" data-title=\" Machine Learning meets Neuroscience: from Spikes to Stimulation&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fabian Sinz, Alexander Ecker&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Machine Learning meets Neuroscience: from Spikes to Stimulation&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fabian Sinz, Alexander Ecker&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Machine Learning meets Neuroscience: from Spikes to Stimulation&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fabian Sinz, Alexander Ecker&lt;\/span&gt;\"> Machine Learning meets Neuroscience: from Spikes to Stimulation<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Fabian Sinz, Alexander Ecker<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='neural-computations-learning-and-dynamics-in-recurrent-networks' aria-labelledby='toggle-neural-computations-learning-and-dynamics-in-recurrent-networks' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p class=\" \">Machine Learning, in particular deep learning, has become an important tool in computational neuroscience to bridge the gap between models and data. Recent experimental techniques in neuroscience yield an increasing amount of rich data that can be fitted with complex models using novel machine learning techniques. This provides a great opportunity to strengthen the link between complex theoretical models and data. For instance, not only have deep networks set new standards in predicting responses of neural populations to arbitrary stimuli and the synthesis of novel stimuli for experimental manipulation, but novel probabilistic machine learning techniques also help to fit parameters of simulation-based (spiking) models to data. At the same time, deep learning serves as an inspiration for how biological networks could learn complex problems using biologically plausible learning rules. With this workshop, we want to highlight the opportunities of modern machine learning in (computational) neuroscience by showcasing a diverse set of successful applications and discussing opportunities for how novel techniques could help test theoretical models with experimental data.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Janne Lappalainen<\/li>\n<li>Stefano Panzeri<\/li>\n<li>Bernd Illing<\/li>\n<li>Viola Priesemann<\/li>\n<li>Roxana Zeraati | Oleg Vinogradov<\/li>\n<li>Kate Storrs<\/li>\n<li>Andrew Saxe<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-27ppo4r-17aefa98e201c049a4cf5a31aa5cd0f8' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-neurons-are-cells-the-role-of-cellular-properties-in-neural-circuit-computations' data-fake-id='#neurons-are-cells-the-role-of-cellular-properties-in-neural-circuit-computations' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='neurons-are-cells-the-role-of-cellular-properties-in-neural-circuit-computations' data-slide-speed=\"200\" data-title=\" Maintaining function in the presence of ongoing change&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Sven Goedeke, Felipe Yaroslav Kalle Kossio&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Maintaining function in the presence of ongoing change&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Sven Goedeke, Felipe Yaroslav Kalle Kossio&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Maintaining function in the presence of ongoing change&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Sven Goedeke, Felipe Yaroslav Kalle Kossio&lt;\/span&gt;\"> Maintaining function in the presence of ongoing change<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Sven Goedeke, Felipe Yaroslav Kalle Kossio<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='neurons-are-cells-the-role-of-cellular-properties-in-neural-circuit-computations' aria-labelledby='toggle-neurons-are-cells-the-role-of-cellular-properties-in-neural-circuit-computations' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p>Recent experiments have revealed ongoing changes in the brain. In particular, synapses show intrinsic dynamics, even in the absence of activity. They also appear and vanish over time leading to a dynamic connectome. On a higher level, representations of information by neural activity exhibit continuous change or drift. In contrast, memories and behavior often remain stable for a long time. This workshop aims to bridge the different levels of ongoing changes and to discuss how function can be maintained in their presence. Specifically, the workshop will explore the following questions. How can unstable and intrinsically dynamic synapses support stable memories? Are ongoing changes of synapses a cause of representational drift? What are the characteristics of representational drift in different brain systems? What roles do homeostasis and redundancy play? How are the ongoing changes related to disorders and aging of the brain?<\/p>\n<p>The workshop will bring together experimental, computational and theoretical perspectives on these questions. In several talks, researchers will present recent experimental data demonstrating drift or stability of neural representations. Furthermore, modeling studies addressing different aspects of ongoing changes will showcase current computational and theoretical approaches. There will be time to interactively discuss questions and ideas among the participants. We hope the workshop will foster the exchange between the different perspectives and aid our conceptual understanding of a dynamic structure-function relationship in neuroscience.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Taro Toyoizumi<\/li>\n<li>Cian O&#8217;Donnell<\/li>\n<li>J\u00falia Gallinaro<\/li>\n<li>Paul Manz<\/li>\n<li>Bastian Eppler<\/li>\n<li>Lee Susman<\/li>\n<li>Michael Rule<\/li>\n<li>Andrew Fink | Carl Edward Schoonover<\/li>\n<li>Noa Sadeh | Meytar Zemer<\/li>\n<li>Federico Devalle<\/li>\n<li>Sara Solla<\/li>\n<li>Ji Xia<\/li>\n<li>William Mau<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-1kdcbrf-ecbbf3f874ad9514432d462030f2e6e1' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-the-making-and-breaking-of-ei-balance' data-fake-id='#the-making-and-breaking-of-ei-balance' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='the-making-and-breaking-of-ei-balance' data-slide-speed=\"200\" data-title=\"Recent Developments for Biologically Realistic Neural Mass Models&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Alessandro Torcini, Simona Olmi&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Recent Developments for Biologically Realistic Neural Mass Models&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Alessandro Torcini, Simona Olmi&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Recent Developments for Biologically Realistic Neural Mass Models&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Alessandro Torcini, Simona Olmi&lt;\/span&gt;\">Recent Developments for Biologically Realistic Neural Mass Models<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Alessandro Torcini, Simona Olmi<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='the-making-and-breaking-of-ei-balance' aria-labelledby='toggle-the-making-and-breaking-of-ei-balance' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p class=\" \">The workshop will focus on recent developments concerning neural mass models, i.e., mean field models able to reproduce biologically realistic dynamics of networks of spiking neurons [1]. In particular, emphasis will be devoted on one side to mean field models for the balanced state, representing a fundamental aspect of cortical dynamics [2-6], and on the other side to next generation neural mass models, recently developed, and able to reproduce exactly the dynamics of spiking neural networks [7].<\/p>\n<p>The workshop aims to favour a comprehension of recently developed neural mass approaches and an open discussion on their relevance and limits of applicability. In particular, a close comparison with experimental results will be performed. The topics will range from the emergence of long-lasting fluctuations and correlations in balanced cortical circuits [8-9], to theta-gamma nested oscillations [10-11],\u00a0 from short-term memory [12-13] to neural wave propagation [14].<br \/>\nThe inclusion in the neural mass models of realistic aspects of neural dynamics,\u00a0 such as the presence of background noise, sparseness in the connection [15-16], adaptation [17] and synaptic plasticity [12-13] will also be addressed in detail during the workshop.<\/p>\n<p><span style=\"font-size: 10pt;\">[1] Carlu et al. Journal of Neurophysiology, 123(3), 1042 (2020).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[2]\u00a0 C.\u00a0 van\u00a0 Vreeswijk and\u00a0 H.\u00a0 Sompolinsky, Science 274, 1724 (1996).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[3]\u00a0 A. Renart, J. de la Rocha, P. Bartho, L. Hollender, N. Parga, A. Reyes, and K. D. Harris, Science 327, 587 (2010).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[4]\u00a0 A.\u00a0 Litwin-Kumar and\u00a0 B.\u00a0 Doiron, Nat.\u00a0 Neurosci. 15, 1498 (2012).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[5]\u00a0 R. Rosenbaum and B. Doiron, Phys. Rev. X 4, 021039(2014).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[6]\u00a0 J.\u00a0 Kadmon and\u00a0 H.\u00a0 Sompolinsky, Phys.\u00a0 Rev.\u00a0 X 5, 041030 (2015)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[7] E. Montbro\u2019, D. Pazo\u2019, and A. Roxin, Phys. Rev. X5, 021028 (2015)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[8] F. Mastrogiuseppe and S. Ostojic, PLOS Computational Biology (2017)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[9] Dahmen, D., Gruen, S., Diesmann, M., &amp; Helias, M. Proceedings of the National Academy of Sciences, 116(26), 13051-13060. (2019)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[10] M. Segneri, H.Bi, S. Olmi, A.Torcini, Frontiers in Computational Neuroscience , 14:47 (2020).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[11] A.Ceni, S. Olmi, A. Torcini, D. Angulo Garcia, Chaos , 30, 053121 (2020).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[12] Schmutz, V., Gerstner, W., &amp; Schwalger, T. The Journal of Mathematical Neuroscience, 10(1), 1-32. (2020)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[13] H. Taher, A. Torcini, S. Olmi, PLOS Computational Biology, 16(12): e1008533 (2020)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[14] \u00c3 Byrne, R.D. O\u2019Dea, M Forrester, J Ross, S Coombes, Journal of Neurophysiology 123 (2), 726-742 (2020).<\/span><br \/>\n<span style=\"font-size: 10pt;\">[15] M. di Volo, A. Torcini, Phys. Rev. Lett. 121, 128301 (2018)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[16] H. Bi, M. Segneri, M. di Volo, A.Torcini, 2, 013042 (2020)<\/span><br \/>\n<span style=\"font-size: 10pt;\">[17] Di Volo, M., Romagnoni, A., Capone, C., &amp; Destexhe, A. Neural computation, 31(4), 653-680. (2019)<\/span><\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Simona Olmi<\/li>\n<li>David Dahmen<\/li>\n<li>Tilo Schwalger<\/li>\n<li>Gianluigi Mongillo<\/li>\n<li>Matteo di Volo<\/li>\n<li>Halgurd Taher<\/li>\n<li>Alain Destexhe<\/li>\n<li>\u00c1ine Byrne<\/li>\n<li>Maurizio Mattia<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-1728t9n-d3f1eab0601d0f53dfb508b61480ea87' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-understanding-computations-of-basal-nervous-systems-from-paramecium-to-jellyfish' data-fake-id='#understanding-computations-of-basal-nervous-systems-from-paramecium-to-jellyfish' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='understanding-computations-of-basal-nervous-systems-from-paramecium-to-jellyfish' data-slide-speed=\"200\" data-title=\"The geometry of neural activity: low-dimensional dynamics and high-dimensional representations&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Joao Barbosa, Adrian Valente, Yuxiu Shao, Ljubica Cimesa&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: The geometry of neural activity: low-dimensional dynamics and high-dimensional representations&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Joao Barbosa, Adrian Valente, Yuxiu Shao, Ljubica Cimesa&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: The geometry of neural activity: low-dimensional dynamics and high-dimensional representations&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Joao Barbosa, Adrian Valente, Yuxiu Shao, Ljubica Cimesa&lt;\/span&gt;\">The geometry of neural activity: low-dimensional dynamics and high-dimensional representations<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Joao Barbosa, Adrian Valente, Yuxiu Shao, Ljubica Cimesa<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='understanding-computations-of-basal-nervous-systems-from-paramecium-to-jellyfish' aria-labelledby='toggle-understanding-computations-of-basal-nervous-systems-from-paramecium-to-jellyfish' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p>The dimensionality of neural representations is at the center of an intense debate. Theoretically, a low-dimensional representation buys you robustness and generalizability. On the other hand, high-dimensional representations are more flexible, because they are more easily decoded by downstream areas. This theoretical tension is reflected in paradoxical findings in neuroscience. With reconciliatory potential, some have argued that the widespread low-dimensional representations in neurophysiological recordings could simply reflect the dimensionality of the task the animals are engaged with.<\/p>\n<p>This workshop will bring together evidence from both views, with the hope of clarifying their interaction in particular in three broad fields:<br \/>\n1. Decision Making<br \/>\n2. Learning in Artificial Neural Networks<br \/>\n3. Motor Learning<\/p>\n<p>With the help of the audience and the speakers, we would like to address the following general questions:<br \/>\n1. Does the brain use both high and low dimensional representations, and if so, for what purposes?<br \/>\n2. Can the paradoxical empirical findings be reconciled? For example, seeing neural representations as low-dimensional with respect to the neural space (~10^10) but high dimensional with respect to the task variables (&lt;10)?<br \/>\n3. How does dimensionality change during learning, both in biological and artificial networks?<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Carsen Stringer<\/li>\n<li>Mattia Rigotti<\/li>\n<li>Jonathan Pillow<\/li>\n<li>Friedrich Schuessler<\/li>\n<li>SueYeon Chung<\/li>\n<li>Sara Solla<\/li>\n<li>Alex Cayco-Gajic<\/li>\n<li>Abigail Russo<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-jxm3rf-04fee45c67222fce56519027a3e91c56' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-visuomotor-coordination-from-physiology-to-control-systems' data-fake-id='#visuomotor-coordination-from-physiology-to-control-systems' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='visuomotor-coordination-from-physiology-to-control-systems' data-slide-speed=\"200\" data-title=\"The inner life of dendrites - mechanisms behind synaptic input integration&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fabio Sartori, Surbhit Wagle, Tatjana Tchumatchenko&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: The inner life of dendrites - mechanisms behind synaptic input integration&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fabio Sartori, Surbhit Wagle, Tatjana Tchumatchenko&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: The inner life of dendrites - mechanisms behind synaptic input integration&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fabio Sartori, Surbhit Wagle, Tatjana Tchumatchenko&lt;\/span&gt;\">The inner life of dendrites - mechanisms behind synaptic input integration<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Fabio Sartori, Surbhit Wagle, Tatjana Tchumatchenko<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='visuomotor-coordination-from-physiology-to-control-systems' aria-labelledby='toggle-visuomotor-coordination-from-physiology-to-control-systems' role='region' class='toggle_wrap  av-title-above'  ><div class='toggle_content invers-color av-inherit-border-color' ><p><strong>Description:<\/strong><\/p>\n<p>Synapses are the fundamental units of information transmission in the brain. Maintenance and change in the synaptic efficacy require precise regulation of proteins and mRNAs in the synapses, dendrites, and axons. This is a challenge because the typical half-life of a protein is only a few days, while the time-scale of the behavior the proteins regulate ranges from few minutes to several decades.<br \/>\nThis workshop aims to explain this gap in time scales by discussing the mechanisms that allow the neurons to regulate the availability of relevant proteins and mRNAs across the neuronal processes. The speakers in the workshop will cover topics ranging from mRNA and protein turnover to dendritic transport and relate them to neuronal computation.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Hye Yoon Park<\/li>\n<li>Daniel Choquet<\/li>\n<li>Timothy O&#8217;Leary<\/li>\n<li>Mark van Rossum<\/li>\n<li>Paul Bressloff<\/li>\n<li>Marina Mikhaylova<\/li>\n<li>Anne-Sophie Hafner<\/li>\n<li>Ashley Bourke<\/li>\n<li>Noam Ziv<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<\/div><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='sub_menu1'  class='av-submenu-container av-kn79ec8n-0555ab7e047a3deee38881aa7f3245e5 main_color  avia-builder-el-62  el_after_av_section  avia-builder-el-last  medienecho-menu submenu-not-first container_wrap fullsize' style='z-index:301' ><div class='container av-menu-mobile-disabled av-submenu-pos-center'><ul id=\"menu-main-menu\" class=\"av-subnav-menu\" role=\"menu\"><li role=\"menuitem\" id=\"menu-item-39248\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-top-level menu-item-top-level-1\"><a href=\"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2025\/\" tabindex=\"0\"><span class=\"avia-bullet\"><\/span><span class=\"avia-menu-text\">2025<\/span><span class=\"avia-menu-fx\"><span class=\"avia-arrow-wrap\"><span class=\"avia-arrow\"><\/span><\/span><\/span><\/a><\/li>\n<li role=\"menuitem\" id=\"menu-item-31288\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-top-level menu-item-top-level-2\"><a href=\"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2024\/\" tabindex=\"0\"><span class=\"avia-bullet\"><\/span><span class=\"avia-menu-text\">2024<\/span><span class=\"avia-menu-fx\"><span class=\"avia-arrow-wrap\"><span class=\"avia-arrow\"><\/span><\/span><\/span><\/a><\/li>\n<li role=\"menuitem\" 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tabindex=\"0\"><span class=\"avia-bullet\"><\/span><span class=\"avia-menu-text\">2010<\/span><span class=\"avia-menu-fx\"><span class=\"avia-arrow-wrap\"><span class=\"avia-arrow\"><\/span><\/span><\/span><\/a><\/li>\n<li role=\"menuitem\" id=\"menu-item-9783\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-top-level menu-item-top-level-17\"><a href=\"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2009\" tabindex=\"0\"><span class=\"avia-bullet\"><\/span><span class=\"avia-menu-text\">2009<\/span><span class=\"avia-menu-fx\"><span class=\"avia-arrow-wrap\"><span class=\"avia-arrow\"><\/span><\/span><\/span><\/a><\/li>\n<\/ul><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":6892,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16170","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Bernstein Conference 2021 &#8211; Bernstein Network Computational Neuroscience<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2021\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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