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DTSTART;TZID=America/Los_Angeles:20201104T161500
DTEND;TZID=America/Los_Angeles:20201104T173000
DTSTAMP:20260430T173040
CREATED:20200901T182037Z
LAST-MODIFIED:20200910T152242Z
UID:2018-1604506500-1604511000@colleges.claremont.edu
SUMMARY:Prof. Sarah Marzen
DESCRIPTION:Title: Training dynamical systems to predict their input \nAbstract: Evolved systems seem to predict their environment.  Even bacteria can implicitly predict future concentrations of scarce sugar or antibiotics\, and emerging evidence suggests that even our retinae are able to predict what we see.  How?  We explore some basic design principles for what causes a system to predict its input\, finishing with a call to arms for mathematicians to develop a better framework for understanding input-dependent dynamical systems or recurrent networks. \nProf. Marzen is Assistant Professor of Physics at Claremont’s Keck Science Department.
URL:https://colleges.claremont.edu/ccms/event/prof-sarah-marzen/
LOCATION:Zoom
CATEGORIES:Colloquium
ORGANIZER;CN="Helen Wong":MAILTO:hwong@cmc.edu
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