{"id":20037,"date":"2022-10-11T12:23:44","date_gmt":"2022-10-11T10:23:44","guid":{"rendered":"https:\/\/bernstein-network.de\/bernstein-conference\/general-information\/about-bernstein-conference\/bernstein-conference-2022-2\/"},"modified":"2026-03-05T11:46:07","modified_gmt":"2026-03-05T10:46:07","slug":"bernstein-conference-2022-2","status":"publish","type":"page","link":"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2022-2\/","title":{"rendered":"Bernstein Conference 2022"},"content":{"rendered":"<div id='av_section_1'  class='avia-section av-v16ysvl-f22e05c0af90441c1452db098e9e7f5c 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-20037'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-unm82dt-2aa3f4079b78aee136e0bb9dfa8bdec5\">\n.flex_column.av-unm82dt-2aa3f4079b78aee136e0bb9dfa8bdec5{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-unm82dt-2aa3f4079b78aee136e0bb9dfa8bdec5 av_one_full  avia-builder-el-1  avia-builder-el-no-sibling  first flex_column_div av-zero-column-padding  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-l92vqmjl-23d4ef91aebc91b2ef62c631c19f76f9\">\n#top .av-special-heading.av-l92vqmjl-23d4ef91aebc91b2ef62c631c19f76f9{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-l92vqmjl-23d4ef91aebc91b2ef62c631c19f76f9 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-l92vqmjl-23d4ef91aebc91b2ef62c631c19f76f9 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-l92vqmjl-23d4ef91aebc91b2ef62c631c19f76f9 av-special-heading-h1 blockquote modern-quote  avia-builder-el-2  el_before_av_image  avia-builder-el-first '><h1 class='av-special-heading-tag '  >Bernstein Conference 2022<\/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-u8zdl69-0d089413d84deb54d1fc7277c6440c84\">\n.avia-image-container.av-u8zdl69-0d089413d84deb54d1fc7277c6440c84 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-u8zdl69-0d089413d84deb54d1fc7277c6440c84 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-u8zdl69-0d089413d84deb54d1fc7277c6440c84 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-26711 avia-img-lazy-loading-not-26711 avia_image ' src=\"https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560.png\" alt='' title='BC22_ArchivSlider_659x2560'  height=\"660\" width=\"2561\" srcset=\"https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560.png 2561w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-300x77.png 300w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-1030x265.png 1030w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-768x198.png 768w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-1536x396.png 1536w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-2048x528.png 2048w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-1500x387.png 1500w, https:\/\/bernstein-network.de\/wp-content\/uploads\/2024\/01\/BC22_ArchivSlider_659x2560-705x182.png 705w\" sizes=\"(max-width: 2561px) 100vw, 2561px\" \/><\/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-ttvk981-640b75ea14d29e39f804813b18c70a62\">\n.avia-section.av-ttvk981-640b75ea14d29e39f804813b18c70a62{\nbackground-color:#f5f7fa;\nbackground-image:unset;\n}\n<\/style>\n<div id='conferenceiconbox'  class='avia-section av-ttvk981-640b75ea14d29e39f804813b18c70a62 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-20037'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-tb9pgi9-6359a67e27da75b86928ba7d7c685d16\">\n.flex_column.av-tb9pgi9-6359a67e27da75b86928ba7d7c685d16{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-tb9pgi9-6359a67e27da75b86928ba7d7c685d16 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-snpnmfl-7da6465c278528d90fcd372eb9b5f3f6\">\n.iconbox.av-snpnmfl-7da6465c278528d90fcd372eb9b5f3f6 .iconbox_icon{\nbackground-color:#f5f7fa;\nborder:1px solid #f5f7fa;\ncolor:#004c93;\n}\n.iconbox.av-snpnmfl-7da6465c278528d90fcd372eb9b5f3f6 .iconbox_icon.avia-svg-icon svg:first-child{\nfill:#004c93;\nstroke:#004c93;\n}\n<\/style>\n<article  class='iconbox iconbox_top av-snpnmfl-7da6465c278528d90fcd372eb9b5f3f6 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-lvape93k-04ef56047d0d66dcec43b80113e0abfa '  ><div class='avia_textblock' ><p style=\"text-align: center;\">TU Berlin<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-s6vmhrl-8651e8cd630399320dafb22b3fcedf5f\">\n.flex_column.av-s6vmhrl-8651e8cd630399320dafb22b3fcedf5f{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-s6vmhrl-8651e8cd630399320dafb22b3fcedf5f 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-rnfpb01-7bd16ebfefa67c3962627162a432ab64\">\n.iconbox.av-rnfpb01-7bd16ebfefa67c3962627162a432ab64 .iconbox_icon{\nbackground-color:#f5f7fa;\nborder:1px solid #f5f7fa;\ncolor:#004c93;\n}\n.iconbox.av-rnfpb01-7bd16ebfefa67c3962627162a432ab64 .iconbox_icon.avia-svg-icon svg:first-child{\nfill:#004c93;\nstroke:#004c93;\n}\n<\/style>\n<article  class='iconbox iconbox_top av-rnfpb01-7bd16ebfefa67c3962627162a432ab64 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-lvapezp3-3d86e53d88ed0cca5aeb28e2579e9827 '  ><div class='avia_textblock' ><p style=\"text-align: center;\">Sep 13 &#8211; 16<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-r6yakcx-26486858d532a088b2ec9b904332b345\">\n.flex_column.av-r6yakcx-26486858d532a088b2ec9b904332b345{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-r6yakcx-26486858d532a088b2ec9b904332b345 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-qyeubkh-e8012e3c0176f45884ec09c35662b9e6\">\n.iconbox.av-qyeubkh-e8012e3c0176f45884ec09c35662b9e6 .iconbox_icon{\nbackground-color:#f5f7fa;\nborder:1px solid #f5f7fa;\ncolor:#004c93;\n}\n.iconbox.av-qyeubkh-e8012e3c0176f45884ec09c35662b9e6 .iconbox_icon.avia-svg-icon svg:first-child{\nfill:#004c93;\nstroke:#004c93;\n}\n<\/style>\n<article  class='iconbox iconbox_top av-qyeubkh-e8012e3c0176f45884ec09c35662b9e6 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-lvapfxyu-0cbff1cbd92c814e099562e9d514747e-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\/BC22\/abstracts#\/'  class='avia-button av-lvapfxyu-0cbff1cbd92c814e099562e9d514747e 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-ql9vklt-a058445033696c55ec30afa4303f754d 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-20037'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-q55g2y9-3ca5bb712000c664bb26740dd1cc09a2\">\n.flex_column.av-q55g2y9-3ca5bb712000c664bb26740dd1cc09a2{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-q55g2y9-3ca5bb712000c664bb26740dd1cc09a2 av_one_full  avia-builder-el-15  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-pc8fnpt-f40f8c177f63ff1c7d52ab726f8a7bd9\">\n#top .av-special-heading.av-pc8fnpt-f40f8c177f63ff1c7d52ab726f8a7bd9{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-pc8fnpt-f40f8c177f63ff1c7d52ab726f8a7bd9 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-pc8fnpt-f40f8c177f63ff1c7d52ab726f8a7bd9 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-pc8fnpt-f40f8c177f63ff1c7d52ab726f8a7bd9 av-special-heading-h2 blockquote modern-quote  avia-builder-el-16  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  >Keynote Lecture<\/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-1r9qggh-418e4b4c4a5d1c5e4e8182f962eb533c\">\n.flex_column.av-1r9qggh-418e4b4c4a5d1c5e4e8182f962eb533c{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-1r9qggh-418e4b4c4a5d1c5e4e8182f962eb533c av_one_half  avia-builder-el-17  el_after_av_one_full  el_before_av_one_full  first flex_column_div av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-l9401gim-7bab08099e505d90ccfea3c093e9c42c '  ><div class='avia_textblock' ><p><strong>Sonja Hofer<\/strong> |<em> University College London, UK<\/em><br \/>\nMaking sense of what you see: cortical and thalamic circuits for vision<\/p>\n<\/div><\/section><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-14q6hrl-e1668236e2155e3eb0597f50f7a5af31\">\n.flex_column.av-14q6hrl-e1668236e2155e3eb0597f50f7a5af31{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-14q6hrl-e1668236e2155e3eb0597f50f7a5af31 av_one_full  avia-builder-el-19  el_after_av_one_half  el_before_av_one_half  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-un8ne9-2a914ad47be334f02cff5b7099af7422\">\n#top .av-special-heading.av-un8ne9-2a914ad47be334f02cff5b7099af7422{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-un8ne9-2a914ad47be334f02cff5b7099af7422 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-un8ne9-2a914ad47be334f02cff5b7099af7422 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-un8ne9-2a914ad47be334f02cff5b7099af7422 av-special-heading-h2 blockquote modern-quote  avia-builder-el-20  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  >Invited 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-of7evht-4d5c010d927db99a330ddf3b788dbb68\">\n.flex_column.av-of7evht-4d5c010d927db99a330ddf3b788dbb68{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-of7evht-4d5c010d927db99a330ddf3b788dbb68 av_one_half  avia-builder-el-21  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-oa2o2hd-c88180dee90ce30813722ee2c30537f5 '  ><div class='avia_textblock' ><p><strong>Bing Brunton<\/strong> | <em>University of Washington, USA<\/em><br \/>\nTracking turbulent plumes with deep reinforcement learning<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l9404eik-3f8574d9cecc6aaec370129132ab4769 '  ><div class='avia_textblock' ><p><strong>Christine Constantinople<\/strong> |<em> New York University, USA<\/em><br \/>\nDistinct controllers for motivation and deliberation<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l94059vo-7d13ed21b379d21cc2a22fa3840ca6dd '  ><div class='avia_textblock' ><p><strong>Carina Curto<\/strong> | <em>Pennsylvania State University, USA<\/em><br \/>\nSequences and modularity of dynamic attractors in inhibition-dominated neural networks<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l9406a1b-57903ef014e3e43b4a8359a02263ea57 '  ><div class='avia_textblock' ><p><strong>Liset M de la Prida<\/strong> | <em>Instituto Cajal, Spain<\/em><br \/>\nUnderstanding hippocampal activities using machine learning and data science tools<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l9407n15-58b38c26a10e6a73d08e7090a84c464c '  ><div class='avia_textblock' ><p><strong>Juan Alvaro Gallego<\/strong> | <em>Imperial College London, UK<\/em><br \/>\nUnderstanding the emergence of neural population dynamics underlying behaviour<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-la0jwz5-4dfd974c61e48677609584dde638fb0e\">\n.flex_column.av-la0jwz5-4dfd974c61e48677609584dde638fb0e{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-la0jwz5-4dfd974c61e48677609584dde638fb0e av_one_half  avia-builder-el-27  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-l9408mpr-fb2e9be646bc53977c3bd417f2d89d7b '  ><div class='avia_textblock' ><p><strong>Mehrdad Jazayeri<\/strong> | <em>Massachusetts Institute of Technology, USA<\/em><br \/>\nTiming via counting using attractor networks in the entorhinal cortex<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l9409tiq-632e610714b95daafd9934a8967d7a1e '  ><div class='avia_textblock' ><p><strong>Gaby Maimon<\/strong> | <em>The Rockefeller University, New York, USA<\/em><br \/>\nHow brains add vectors<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l940bbww-ed70eba13d0bc8be5fbb2bdf8a19107e '  ><div class='avia_textblock' ><p><strong>Andrew Saxe<\/strong> | <em>University College London, UK<\/em><br \/>\nWhy learn representations? Abstraction and generalization in a nonlinear deep network<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l940chds-5d89971db40853c1bc8a32d4dfbdaac3 '  ><div class='avia_textblock' ><p><strong>Henning Sprekeler<\/strong> | <em>Technische Universit\u00e4t Berlin, Germany<\/em><br \/>\nTop-down models of inhibitory circuits<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l940dhr9-2c91dc3814f9a0f97e6517c8fdefc61c '  ><div class='avia_textblock' ><p><strong>Carsen Stringer<\/strong> | <em>Janelia Research Campus, USA<\/em><br \/>\nUncovering features of high-dimensional neural and behavioral data<\/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-it83wdt-f0bbe1f9f4c6dd603ff8596dafeb04cc main_color avia-section-default avia-no-border-styling  avia-builder-el-33  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-20037'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-i3lxlht-156d82f9a60d343f3936fe6f5b8a944e\">\n.flex_column.av-i3lxlht-156d82f9a60d343f3936fe6f5b8a944e{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-i3lxlht-156d82f9a60d343f3936fe6f5b8a944e av_one_full  avia-builder-el-34  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-1r80asx-77173f3aec61e60f6cc2eb117ac8a744\">\n#top .av-special-heading.av-1r80asx-77173f3aec61e60f6cc2eb117ac8a744{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-1r80asx-77173f3aec61e60f6cc2eb117ac8a744 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-1r80asx-77173f3aec61e60f6cc2eb117ac8a744 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-1r80asx-77173f3aec61e60f6cc2eb117ac8a744 av-special-heading-h2 blockquote modern-quote  avia-builder-el-35  avia-builder-el-no-sibling '><h2 class='av-special-heading-tag '  > Brains for Brains Young Researcher 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-hf2im35-c07ad96545e0fa604f620ea6c3821230\">\n.flex_column.av-hf2im35-c07ad96545e0fa604f620ea6c3821230{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-hf2im35-c07ad96545e0fa604f620ea6c3821230 av_one_half  avia-builder-el-36  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-gppg8r5-391da7ecb5384f2693eb1c81e4b18d4a '  ><div class='avia_textblock' ><p><strong>Simone Azeglio<\/strong> | <em>Institut de l\u2019Audition, Institut Pasteur, France<\/em><br \/>\nActivity-driven deep models for learning sound transformations across the auditory pathway<\/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-gh18j4h-e2a828b43d4875650a930360b1254f45 main_color avia-section-default avia-no-border-styling  avia-builder-el-38  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-20037'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-fpmiu9d-91dfde1b15d74a431a5d0fbd3e03dfc5\">\n.flex_column.av-fpmiu9d-91dfde1b15d74a431a5d0fbd3e03dfc5{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-fpmiu9d-91dfde1b15d74a431a5d0fbd3e03dfc5 av_one_full  avia-builder-el-39  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-fa3vtch-8bd6a5764bace3d62d6b750af5980f0b\">\n#top .av-special-heading.av-fa3vtch-8bd6a5764bace3d62d6b750af5980f0b{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-fa3vtch-8bd6a5764bace3d62d6b750af5980f0b .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-fa3vtch-8bd6a5764bace3d62d6b750af5980f0b .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-fa3vtch-8bd6a5764bace3d62d6b750af5980f0b av-special-heading-h2 blockquote modern-quote  avia-builder-el-40  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-evczl81-6828f4df73c2a46b619ae89aa40c1204\">\n.flex_column.av-evczl81-6828f4df73c2a46b619ae89aa40c1204{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-evczl81-6828f4df73c2a46b619ae89aa40c1204 av_one_half  avia-builder-el-41  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-l941bqx0-0dcc0d08b5cd6553526b55a7c774f664 '  ><div class='avia_textblock' ><p><strong>David Dahmen<\/strong> | <em>Forschungszentrum J\u00fclich, Germany<\/em><br \/>\nStrong recurrency of cortical networks constrains activity in low-dimensional subspaces<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l940y5nf-856c5d2986426c63489e83576d26556f '  ><div class='avia_textblock' ><p><strong>Paul Haider<\/strong> | <em>University of Bern, Switzerland<\/em><br \/>\nLatent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l941czpv-905725690771ae1661ecb4e29c5f0541 '  ><div class='avia_textblock' ><p><strong>Kanghoon Jung<\/strong> | <em>Johns Hopkins University, USA<\/em><br \/>\nDopamine-mediated cellular programming of heuristic decisions<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-1goggnl-f50b989e0350baf8e1a07dc304c5aa8a '  ><div class='avia_textblock' ><p><strong>Ioannis Pisokas<\/strong> | <em>University of Edinburgh, UK<\/em><br \/>\nHow ants remember their way home<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l940xatt-09ad2d4bcda410cbbf02399c89655985 '  ><div class='avia_textblock' ><p><strong>Aviv Ratzon<\/strong> | <em>Technion, Israel Institute of Technology, Israel<\/em><br \/>\nRepresentational Drift As a Result of Implicit Regularization<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-cjr0jap-cb99f4d91761bfd297fd330089926888\">\n.flex_column.av-cjr0jap-cb99f4d91761bfd297fd330089926888{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-cjr0jap-cb99f4d91761bfd297fd330089926888 av_one_half  avia-builder-el-47  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-l940wch2-4901785b4c53320d3ca172247838cbf8 '  ><div class='avia_textblock' ><p><strong>Hazem Toutounji<\/strong> | <em>University of Nottingham, UK<\/em><br \/>\nSelective Attention Aids Rapid Learning in Complex Environments<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l940v746-1ab49f1af7ea15bce1da83057d2413e6 '  ><div class='avia_textblock' ><p><strong>Sigrid Tr\u00e4genap<\/strong> |<em> Frankfurt Institute of Advanced Studies, Germany<\/em><br \/>\nExperience drives the development of novel, reliable cortical sensory representations from endogenous networks<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l941ed6i-82e5c46a71c287e8dfddfb094745ee3d '  ><div class='avia_textblock' ><p><strong>Ivan Voitov<\/strong> | <em>Sainsbury Wellcome Centre, UK<\/em><br \/>\nCortical feedback loops bind distributed high-dimensional representations of working memory<\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-l941f4uz-3a5676ea1cb4c3f37a31869839d3c18e '  ><div class='avia_textblock' ><p><strong>Katharina Wilmes <\/strong> | <em>University of Bern, Switzerland<\/em><br \/>\nUncertainty-modulated prediction errors in cortical microcircuits<\/p>\n<\/div><\/section><\/p><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_6'  class='avia-section av-8ncpdht-be2090d1030a46136182527427c5ae4d main_color avia-section-default avia-no-border-styling  avia-builder-el-52  el_after_av_section  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-20037'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-82dlay9-99890cb341202e8580783aa404b5b20c\">\n.flex_column.av-82dlay9-99890cb341202e8580783aa404b5b20c{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-82dlay9-99890cb341202e8580783aa404b5b20c av_one_full  avia-builder-el-53  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-7qz0s6p-2a06bc3b9d32821f0dd980cb3e285110\">\n#top .av-special-heading.av-7qz0s6p-2a06bc3b9d32821f0dd980cb3e285110{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-7qz0s6p-2a06bc3b9d32821f0dd980cb3e285110 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-7qz0s6p-2a06bc3b9d32821f0dd980cb3e285110 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-7qz0s6p-2a06bc3b9d32821f0dd980cb3e285110 av-special-heading-h2 blockquote modern-quote  avia-builder-el-54  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-4etv6y9-fcf312354071fe5a677dba0daa83b056\">\n.flex_column.av-4etv6y9-fcf312354071fe5a677dba0daa83b056{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-4etv6y9-fcf312354071fe5a677dba0daa83b056 av_one_full  avia-builder-el-55  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-mltox311-328b2823a2d65dd10cf96a5bbece71c8\">\n#top .togglecontainer.av-mltox311-328b2823a2d65dd10cf96a5bbece71c8 p.toggler{\nborder-color:#ebebeb;\n}\n#top .togglecontainer.av-mltox311-328b2823a2d65dd10cf96a5bbece71c8 .toggle_wrap .toggle_content{\nborder-color:#ebebeb;\n}\n<\/style>\n<div  class='togglecontainer av-mltox311-328b2823a2d65dd10cf96a5bbece71c8 av-elegant-toggle  avia-builder-el-56  avia-builder-el-no-sibling ' >\n<section class='av_toggle_section av-3rgf9ox-c9a173fd5233ce4ffbfdf7cb4fd81587' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-braincriticality' data-fake-id='#braincriticality' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='braincriticality' data-slide-speed=\"200\" data-title=\"Advances in network dynamics of in vitro neural systems&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Oleg Vinogradov, Paul Spitzner&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Advances in network dynamics of in vitro neural systems&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Oleg Vinogradov, Paul Spitzner&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Advances in network dynamics of in vitro neural systems&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Oleg Vinogradov, Paul Spitzner&lt;\/span&gt;\">Advances in network dynamics of in vitro neural systems<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Oleg Vinogradov, Paul Spitzner<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='braincriticality' aria-labelledby='toggle-braincriticality' 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>In vitro cultures of neurons are one of the classical model systems in neuroscience that provide a great balance between complexity and experimental convenience. Due to this balance, in vitro cultures have supported the discovery of fundamental properties of neuronal networks, such as synaptic plasticity, E\/I balance, and various homeostatic mechanisms. In recent years, major progress in experimental techniques and stem cell technologies has enabled greater control over the genetic and phenotypic heterogeneity of plated cells. Simultaneously, neuro-engineering and organoid technology allowed for unprecedented control over the topological structure of networks.<\/p>\n<p>The goal of this workshop is to bring together experts in experiments, theory, and data analysis to explore insights into collective dynamics, network organization, and pathological pathways of complex neuropsychiatric disorders, which were enabled by recent advances in neural models in vitro. We will also address ongoing experimental obstacles, such as the variability of network dynamics between preparations, discuss recently discovered ways to enrich the complexity of network activity, and provide a perspective for future research that further closes the gap with in vivo systems.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Martina Brofiga<\/li>\n<li>Michela Chiappalone<\/li>\n<li>Richard Gao<\/li>\n<li>Barbara Genocchi<\/li>\n<li>Pascal Monceau<\/li>\n<li>Elisha Moses<\/li>\n<li>Samora Okujeni<\/li>\n<li>Liset M de la Prida<\/li>\n<li>Jordi Soriano<\/li>\n<li>Paul Spitzner<\/li>\n<li>Shani Stern<\/li>\n<li>Oleg Vinogradov<\/li>\n<li>Michael Ziller<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-3ii5bxt-9e73b17dd24bf2e4b86ec8b765d60a8b' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-controlmechanisms' data-fake-id='#controlmechanisms' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='controlmechanisms' data-slide-speed=\"200\" data-title=\"Distributed computations across brain regions&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Jo\u00e3o Barbosa, Heike Stein&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Distributed computations across brain regions&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Jo\u00e3o Barbosa, Heike Stein&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Distributed computations across brain regions&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Jo\u00e3o Barbosa, Heike Stein&lt;\/span&gt;\">Distributed computations across brain regions<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Jo\u00e3o Barbosa, Heike Stein<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='controlmechanisms' aria-labelledby='toggle-controlmechanisms' 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>Current recording techniques make it possible to simultaneously record from thousands of neurons in multiple brain regions. Recent work exploiting these techniques shows a broadly distributed representation of task variables across the brain (e.g., Steinmetz et al, 2019; Musall et al., 2019). Furthermore, representations within regions appear to be mixed, even at the single-cell level (Fusi et al., 2016). These observations challenge the classical assignment of different computations to specialised brain regions. Instead of a series of compartmentalised computations, neuroscience is developing a new understanding of integrated computations that emerge from brain-wide interactions of different regions within nested feedback loops (Cisek, 2019). Yet, our theoretical understanding of how neural dynamics enable behaviourally relevant computations is still largely limited to individual networks in isolation, but exciting new approaches taking multi-area interactions into account are emerging (Abbott &amp; Svoboda, 2020, for a recent volume of reviews).<\/p>\n<p>This workshop will bring together experts on these emerging experimental and statistical methods, as well as network modelling, that will allow neuroscientists in the coming decade to quantify and analyse interactions between brain regions. It will be divided into six thematic sections:<\/p>\n<ul>\n<li>Neural subspaces,<\/li>\n<li>Recurrent interactions,<\/li>\n<li>Multi-area interactions for flexible behavior,<\/li>\n<li>Latent variable modeling,<\/li>\n<li>Feedforward interactions,<\/li>\n<li>Probing interactions through perturbations<\/li>\n<\/ul>\n<p>With the help of the audience and the speakers, we would like to address the following questions: What are the computational advantages of engaging multiple areas? What can architecture\/structure tell us about a region\u2019s role in distributed computations? What is the basic unit of computation? When are feedforward interactions enough, and what can we learn by studying recurrent interactions? Is there hope for properly estimating causal multi-region interactions statistically (e.g., distinguishing feedforward from feedback)?<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Sophie Bagur<\/li>\n<li>Jo\u00e3o Barbosa<\/li>\n<li>Guillaume Bellec<\/li>\n<li>Olivia Gozel<\/li>\n<li>Mehrdad Jazayeri<\/li>\n<li>Stephen Keeley<\/li>\n<li>Christian Machens<\/li>\n<li>Samuel Muscinelli<\/li>\n<li>Cristina Savin<\/li>\n<li>Maryam Shanechi<\/li>\n<li>Joana Soldado-Magraner<\/li>\n<li>Heike Stein<\/li>\n<li>Ivan Voitov<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-mltowthz-aa3382c63f2b190f3a5efded4129c566' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-distributedrepresentation' data-fake-id='#distributedrepresentation' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='distributedrepresentation' data-slide-speed=\"200\" data-title=\" Information processing through correlated and coordinated responses&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; David Dahmen, Johannes Zierenberg&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Information processing through correlated and coordinated responses&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; David Dahmen, Johannes Zierenberg&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Information processing through correlated and coordinated responses&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; David Dahmen, Johannes Zierenberg&lt;\/span&gt;\"> Information processing through correlated and coordinated responses<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> David Dahmen, Johannes Zierenberg<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='distributedrepresentation' aria-labelledby='toggle-distributedrepresentation' 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>Information processing in the brain is believed to arise from the coordinated response of neural activities in large populations across multiple areas. Such coordinated responses give rise to correlations in local circuits that reflect not only their internal state, but also the relevant information about the input to be processed. Understanding how such correlations are shaped by the interplay between network states and input properties is therefore essential to understand how sensory information is transformed across the multiple processing stages of the brain. Recent experimental and numerical studies addressed the question of how neural responses are shaped by both network states and input features. This includes work on network models that link computational performance to different dynamical regimes that are controlled by multiple mechanisms, from overall strength, heterogeneity and spatial structure of connections, to excitation-inhibition balance, to specific low-rank connectivity structures or local synaptic motifs.<\/p>\n<p>Likewise, experimental and theoretical work analyzed how neural dynamics are shaped by different features of the input, such as their spectrum or intrinsic dimensionality, identifying unique representations in neural activity. In this workshop, we bring together experts on correlated and coordinated neural dynamics with the goal to engage into a joint discussion on how inputs (re)shape collective neural responses. How does the observed neural activity differ across cortical regions? How is this affected by input? And what does this mean for information processing? We want to address these and other questions, work out possibilities to test theoretical predictions by experiments, and discuss functional implications.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Guillermo Barrios Morales<\/li>\n<li>Alex Cayco-Gajic<\/li>\n<li>Juan Gallego<\/li>\n<li>Matthieu Gilson<\/li>\n<li>Chengcheng Huang<\/li>\n<li>Matthias Loidolt<\/li>\n<li>Alessandro Sanzeni<\/li>\n<li>Friedrich Schuessler<\/li>\n<li>Carsen Stringer<\/li>\n<li>Roxana Zeraati<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-2sxth0x-4c7bdc77ef70ff0bd8c49290a374e14f' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-large-scale' data-fake-id='#large-scale' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='large-scale' data-slide-speed=\"200\" data-title=\"Large-scale cortical networks: from dynamics to cognition&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Francesco Battaglia, Federico Stella&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Large-scale cortical networks: from dynamics to cognition&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Francesco Battaglia, Federico Stella&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Large-scale cortical networks: from dynamics to cognition&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Francesco Battaglia, Federico Stella&lt;\/span&gt;\">Large-scale cortical networks: from dynamics to cognition<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Francesco Battaglia, Federico Stella<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='large-scale' aria-labelledby='toggle-large-scale' 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>In this workshop, we focus on the dynamics of global cortical networks. Such a comprehensive perspective on cortical dynamics has become increasingly crucial for the understanding of brain functioning. In fact, it is now overly clear how various aspects of cognition rely on the coordinated (spontaneous and evoked) activation of many structures. The study of coherent interaction of multiple distributed networks poses novel challenges, both experimental and conceptual, which call for the development of innovative approaches and analysis methods.<\/p>\n<p>In this series of talks, we will discuss how recent advances are enabling us to understand how these functional networks form and disband, what their link to anatomical connectivity is, and how they process information. By bringing together various types of expertise and heterogeneous scientific backgrounds, we aim at presenting an overview of the state of the field and at identifying the key open questions lying ahead. In particular, we will focus on bridging the gap between available experimental measures of local and distributed cortical activity and a number of theoretical frameworks offering a model to evaluate the contribution of the state of these networks to neural computations.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Sacha van Albada<\/li>\n<li>Joana Cabral<\/li>\n<li>Victor Jirsa<\/li>\n<li>Majid Mohajerani<\/li>\n<li>Federico Stella<\/li>\n<li>Mark Woolrich<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-2g7k4pd-cc8157dfa519f44471148fbce1e7c0a7' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-heterogeneousdistribution' data-fake-id='#heterogeneousdistribution' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='heterogeneousdistribution' data-slide-speed=\"200\" data-title=\"Major transitions in cortical circuit evolution&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fred Wolf, Agostina Palmigiano&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand: Major transitions in cortical circuit evolution&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fred Wolf, Agostina Palmigiano&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse: Major transitions in cortical circuit evolution&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Fred Wolf, Agostina Palmigiano&lt;\/span&gt;\">Major transitions in cortical circuit evolution<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Fred Wolf, Agostina Palmigiano<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='heterogeneousdistribution' aria-labelledby='toggle-heterogeneousdistribution' 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 circuits of the cerebral cortex underlie our abilities to perceive and recognize objects, form an internal model of dynamic environments, make decisions and plan and execute complex actions. Although these functions and abilities appear universal, the design even of simple sensory cortical circuits, surprisingly, was repeatedly disrupted by major evolutionary transformations. Recent work has uncovered that the ancestral state of primary visual cortex neither exhibited localized receptive fields nor retinotopic order (1) and that mammalian V1 underwent an all-or-nothing transition at the origin of primates (2). Exciting discoveries in the paleontology and paleobiology of the mammalian brain indicate that cortical circuit evolution has been punctuated by coordinated encephalization bursts (3) in distinct lineages, potentially reflecting key innovations in visual processing strategy (4). The challenge of understanding and reconstructing such transitions adds a novel dimension to the quest of decoding the principles of cortical processing and design.<\/p>\n<p>The workshop \u201cMajor transitions in cortical circuit evolution\u201d will bring together leading researchers that pioneered next-generation comparative studies, use predictive and data-driven modelling to identify mode-shifts in visual cortical processing and reconstruct the evolutionary trajectory of cortical evolution. Our workshop is designed to make recent advances and open challenges accessible to a wide audience in computational and systems neuroscience and foster a new wave of theoretical and comparative work in cortical circuit evolution.<\/p>\n<h6>(1) Fournier et al. Neuron 2018, (2) Schmidt &amp; Wolf Curr Opinion Neurobiol 2021, (3) Bertrand et al Science 2022, (4) Luongo et al. eLife 2021<\/h6>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Ornella Bertrand<\/li>\n<li>David Hansel<\/li>\n<li>Suzana Herculano-Houzel<\/li>\n<li>Michael Ibbotson<\/li>\n<li>Agostina Palmigiano<\/li>\n<li>Jonas Rose<\/li>\n<li>Kerstin Schmidt<\/li>\n<li>Madineh Sedigh-Sarvestani<\/li>\n<li>Mark Shein-Idelson<\/li>\n<li>Fabian Sinz<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-1yutzn5-1116f5756add90a8d9e91a2faa125703' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-machinelearning' data-fake-id='#machinelearning' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='machinelearning' data-slide-speed=\"200\" data-title=\" Ready, set-point, go: Stability and change across neuronal scales&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Chaitanya Chintaluri, Lee Susman, Maayan Levy&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Ready, set-point, go: Stability and change across neuronal scales&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Chaitanya Chintaluri, Lee Susman, Maayan Levy&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Ready, set-point, go: Stability and change across neuronal scales&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Chaitanya Chintaluri, Lee Susman, Maayan Levy&lt;\/span&gt;\"> Ready, set-point, go: Stability and change across neuronal scales<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Chaitanya Chintaluri, Lee Susman, Maayan Levy<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='machinelearning' aria-labelledby='toggle-machinelearning' 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 biological machinery that sustains life operates under constantly changing conditions. Organisms must react to these changes to maintain homeostasis, or favorable operational conditions. Such ideal conditions, or set-points, are the valleys to which life gravitates. In this workshop, we will delve into the cellular, circuit, and system mechanisms that facilitate \u2018living in the valley\u2019 for the nervous system. In the nervous system, changes can occur across a wide range of spatial and temporal scales. For example, fluctuations in nutrient availability can rapidly alter neural response. The turnover rate of ion channels can change the firing patterns in a matter of hours. Similarly, behavioral states such as hunger can prompt feeding, and sleep can modify network connectivity. At a higher level of abstraction, animals must also learn, retain memory, and plan across their lifespan. We will address how neurons, networks, and the organism as a whole cope with change and build resilience in its anticipation. We will emphasize that neurons are more than computational units \u2013 they are living machines.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Chaitanya Chintaluri<\/li>\n<li>Kristine Heiney<\/li>\n<li>Daniel Levenstein<\/li>\n<li>Astrid Prinz<\/li>\n<li>Carolina Rezaval<\/li>\n<li>Alon Rubin<\/li>\n<li>Michael Rule<\/li>\n<li>Gina G Turrigiano<\/li>\n<li>Inna Slutsky<\/li>\n<li>Lee Susman<\/li>\n<li>Friedmann Zenke<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-1i78cb5-f1343960913f54824773daedac99760f' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-maintainingfunction' data-fake-id='#maintainingfunction' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='maintainingfunction' data-slide-speed=\"200\" data-title=\" Simulating plasticity in morphologically detailed neural networks with Arbor&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Sandra Diaz, Brent Huisman&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Simulating plasticity in morphologically detailed neural networks with Arbor&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Sandra Diaz, Brent Huisman&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Simulating plasticity in morphologically detailed neural networks with Arbor&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Sandra Diaz, Brent Huisman&lt;\/span&gt;\"> Simulating plasticity in morphologically detailed neural networks with Arbor<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Sandra Diaz, Brent Huisman<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='maintainingfunction' aria-labelledby='toggle-maintainingfunction' 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 Arbor simulator lets users design their neuronal cells and networks in a user friendly way, and because it simulates morphologically detailed cells with arbitrary dynamics, it makes for a interesting new choice in the study of various kinds of plasticity. This workshop is meant to gather researchers and their research questions about plasticity and discover which features are needed from a simulator to answer some of these shared questions. Arbor will be introduced, and some plasticity related studies currently conducted showcased. The attendees are then invited to share and discuss their research questions and distil this in a roadmap that will drive Arbor development in the near future, enabling study of those research questions. We hope the workshop will be the starting point of a plasticity user group around the Arbor simulator, bringing focus to its development and hopefully research questions answered.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Hermann Cuntz<\/li>\n<li>Sandra Diaz<\/li>\n<li>Thorsten Hater<\/li>\n<li>Brent Huisman<\/li>\n<li>Han Lu<\/li>\n<li>Stefan Rotter<\/li>\n<li>Sebastian Schmitt<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-16ceoq9-aa2cb6dfbac10388e9ae70e802928af6' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-toggle-id-1' data-fake-id='#toggle-id-1' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='toggle-id-1' data-slide-speed=\"200\" data-title=\" Surprise in the brain: Theory and Experiments&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Alireza Modirshanechi, Franziska Br\u00e4ndle&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Surprise in the brain: Theory and Experiments&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Alireza Modirshanechi, Franziska Br\u00e4ndle&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Surprise in the brain: Theory and Experiments&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Alireza Modirshanechi, Franziska Br\u00e4ndle&lt;\/span&gt;\"> Surprise in the brain: Theory and Experiments<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Alireza Modirshanechi, Franziska Br\u00e4ndle<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-1' aria-labelledby='toggle-toggle-id-1' 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>Surprise and other signals related to surprise, such as novelty and prediction error, are believed to have important roles in the brain: They affect physiological indicators such as pupil diameter and EEG amplitude, trigger the release of neuromodulators such as norepinephrine, and influence behavior through the shift of attention, memory segmentation, and modulation of learning speed. How and why these signals are involved in all these different phenomena have been subjects of a long-lasting debate in neuroscience and psychology. A systematic challenge in addressing the functional role of surprise-related signals is that different studies often refer to different quantities by \u201csurprise\u201d or use it interchangeably with \u201cnovelty\u201d, \u201cprediction error\u201d, and \u201cinformation gain\u201d. In this workshop, we gather experimental and computational researchers from different sub-fields of neuroscience to discuss and review different concepts of surprise and their influence on physiological and behavioral measurements. Our goal is to take a step towards a consensus on the definitions of different surprise-related quantities and their functional roles in the brain.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Franziska Br\u00e4ndle<\/li>\n<li>Irene Cogliati Dezza<\/li>\n<li>Maria Eckstein<\/li>\n<li>Alireza Modirshanechi<\/li>\n<li>Sean O&#8217;Toole<\/li>\n<li>Ilya Monosov<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-rgmpg1-ff328895aaa2e38cb0011acdc22053f2' ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p id='toggle-neuralactivity' data-fake-id='#neuralactivity' class='toggler  av-title-above av-inherit-border-color'  role='tab' tabindex='0' aria-controls='neuralactivity' data-slide-speed=\"200\" data-title=\" Symmetry, Invariance and Neural Representations&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Simone Azeglio, Arianna Di Bernardo&lt;\/span&gt;\" data-title-open=\"\" data-aria_collapsed=\"Click to expand:  Symmetry, Invariance and Neural Representations&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Simone Azeglio, Arianna Di Bernardo&lt;\/span&gt;\" data-aria_expanded=\"Click to collapse:  Symmetry, Invariance and Neural Representations&lt;br \/&gt;\n&lt;span class=&quot;workshop-subtitle&quot;&gt;&lt;strong&gt;Organizers:&lt;\/strong&gt; Simone Azeglio, Arianna Di Bernardo&lt;\/span&gt;\"> Symmetry, Invariance and Neural Representations<br \/>\n<span class=\"workshop-subtitle\"><strong>Organizers:<\/strong> Simone Azeglio, Arianna Di Bernardo<\/span><span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='neuralactivity' aria-labelledby='toggle-neuralactivity' 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>Why does symmetry encoding matter for neuroscience? There exists an intimate relationship between how natural phenomena evolve in time and how we represent the world by measuring it with our senses. On the one hand, the best mathematical model of the world we possess, the physical laws, can be characterised on the basis of invariants, conserved quantities (Noether\u2019s Theorem). On the other hand, in order to perceive and thus interact with the external environment, we need to create robust neural representations from the \u201cdata\u201d collected through sensory processing.<\/p>\n<p>It is therefore inevitable that neural representations, as well as the structure and dynamics of neuronal circuits, are affected by the organisational properties dictated by physics. Awareness of this fact and incorporating it in the definition of computational and deep learning models for brain function can allow for more robust learning and provide better generalisation properties. This workshop proposal aims to unify under a common framework, theories and models that consider invariant representations in vision, audition, olfaction, touch, motor control, spatial navigation, and memory.<\/p>\n<p><strong>Speakers:<\/strong><\/p>\n<ul>\n<li>Michael A. Casey<\/li>\n<li>Tamar Flash<\/li>\n<li>Joram Keijser<\/li>\n<li>David Klindt<\/li>\n<li>Justin Lieber<\/li>\n<li>Alexandra Libby<\/li>\n<li>Sophia Sanborn<\/li>\n<li>Thomas Serre<\/li>\n<li>Tatyana Sharpee<\/li>\n<li>Christian Shewmake<\/li>\n<li>Hiba Sheheitli<\/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-1ip5hm9-19118fbab7729d67961fbf7407d3a63c main_color  avia-builder-el-57  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\" id=\"menu-item-26733\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-top-level menu-item-top-level-3\"><a href=\"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2023\/\" tabindex=\"0\"><span class=\"avia-bullet\"><\/span><span class=\"avia-menu-text\">2023<\/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-27879\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-top-level menu-item-top-level-4\"><a href=\"https:\/\/bernstein-network.de\/en\/bernstein-conference\/past-future-bernstein-conferences\/bernstein-conference-2022-2\/\" tabindex=\"0\"><span class=\"avia-bullet\"><\/span><span class=\"avia-menu-text\">2022<\/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-16159\" class=\"menu-item menu-item-type-custom menu-item-object-custom 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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":11,"featured_media":0,"parent":6892,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-20037","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\/ 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