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UID:20230815T1942Z-1692128526.5003-EO-8114-1@172.23.128.18
STATUS:CONFIRMED
DTSTAMP:20260425T193828Z
CREATED:20230815T194128Z
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DTSTART;TZID=America/Chicago:20230911T085500
DTEND;TZID=America/Chicago:20230911T180000
SUMMARY: 2023 Computational Neuroscience Next Generation Symposium
DESCRIPTION: The Center for Theoretical & Computational Neuroscience invite
 s you to the 2023 Computational Neuroscience Next Generation Symposium. Dan
 iel Barabasi Advisor: Florian Engert\, Harvard University Complex computati
 on from developmental priors Sigrid Trägenap Advisor: Matthias Kaschube\, M
 ax Planck Institute The nature-nurture transform underlying the emergence o
 f reliable cortical representations Tim Kim Advisor: Carlos Brody\, Princet
 on Neuroscience Institute […]
X-ALT-DESC;FMTTYPE=text/html: <p class="p2">The Center for Theoretical & Co
 mputational Neuroscience invites you to the <b>2023 Computational Neuroscie
 nce Next Generation Symposium</b>.</p><p class="p3"><b>Daniel Barabasi</b><
 /p><p class="p4">Advisor: Florian Engert\, Harvard University</p><p class="
 p4"><i>Complex computation from developmental priors</i></p><p class="p5"><
 b>Sigrid Trägenap</b></p><p class="p4">Advisor: Matthias Kaschube\, Max Pla
 nck Institute</p><p class="p4"><i>The nature-nurture transform underlying t
 he emergence of reliable cortical representations</i></p><p class="p3"><b>T
 im Kim</b></p><p class="p4">Advisor: Carlos Brody\, Princeton Neuroscience 
 Institute</p><p class="p4"><i>Flow-field inference from neural data using d
 eep recurrent networks</i></p><p class="p3"><b>HayoungSong</b></p><p class=
 "p4">Advisor: Monica D. Rosenberg\, University of Chicago</p><p class="p4">
 <i>Neural dynamics underlying naturalistic human cognition</i></p><p class=
 "p3"><b>YusiChen</b></p><p class="p4">Advisor: Terrence Sejnowski\, UCSD</p
 ><p class="p4"><i>Predictive sequence learning in the hippocampal formation
 </i></p><p class="p3"><b>Joseph Pemberton</b></p><p class="p4">Advisor: Rui
  Ponte Costa\, University of Bristol</p><p class="p4"><i>Cerebellar-driven 
 strategies for brain-wide learning</i></p><p class="p3"><b>Jacob Zavatone-V
 eth</b></p><p class="p4">Advisor: Cengiz Pehlevan\, Harvard University</p><
 p class="p4"><i>Effect of prior knowledge on generalization in deep linear 
 neural networks</i></p><p class="p3"><b>Alessandro Marin-Vargas</b></p><p c
 lass="p4">Advisor: Alexander Mathis\, EPFL</p><p class="p4"><i>Task-driven 
 neural network models predict neural dynamics of proprioception</i></p><p c
 lass="p3"><b>Additional talks by Washington University faculty.</b></p><p>R
 egister to attend: <a href="https://ctcn.wustl.edu/next-gen-symposium/">htt
 ps://ctcn.wustl.edu/next-gen-symposium/ </a></p>
ORGANIZER;CN="Katie Cammarata":MAILTO:cammarata@wustl.edu
URL;VALUE=URI:https://neurology.wustl.edu/events/event/2023-computational-n
 euroscience-next-generation-symposium/
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TZOFFSETFROM:-0600
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DTSTART:20230312T080000
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