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UID:20260807T012530EDT-9963d9kRCi@132.216.98.100
DTSTAMP:20260807T052530Z
DESCRIPTION:The Neurodynamics of Simple Decisions: Drift-diffusion Equation
 s\nas Models for Single Brains\, and for Group Behaviors\nProf. Philip Hol
 mes\nPrinceton University\n \nI will describe how simple stochastic differ
 ential equations can\nmodel  evidence accumulation and decision making\, s
 ketching\ntheir derivation from biophysically-detailed models of spiking\n
 neurons\, and relating them to the sequential probability ratio test\nfrom
  statistical decision theory. This connection yields a\nspeed-accuracy tra
 deoff that optimizes rewards in a simple\ntwo-alternative perceptual decis
 ion task. I will compare the\nresulting model predictions with human behav
 ior and advance\nexplanations for failures to optimize. Finally\, I will s
 how how\ndrift-diffusion models can be extended to describe choices in a\n
 social gambling task in which players receive limited information\nregardi
 ng other group members' choices and rewards.\n
DTSTART:20101007T200000Z
DTEND:20101007T200000Z
LOCATION:Trottier Building\, CA\, QC\, Montreal\, H3A 0C6\, 3630 rue Univer
 sity
SUMMARY:Brain\, Body and Machine Seminar
URL:/channels/event/brain-body-and-machine-seminar-168
 217
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