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SUMMARY:Probabilistic models of human sensorimotor control
DTSTART:20110523T170000
DTSTAMP:20260408T145227Z
UID:2f659b843203452fd63a5bf07d50ab9d785c577e4d07fa6d814d6d32
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Daniel Wolpert\nThe effortless ease with which humans mo
 ve our arms\, our eyes\, even our lips when we speak masks the true comple
 xity of the control processes involved. This is evident when we try to bui
 ld machines to perform human control tasks. While computers can now beat g
 randmasters at chess\, no computer can yet control a robot to manipulate a
  chess piece with the dexterity of a six-year-old child. I  will review ou
 r recent work on how the humans learn to make skilled movements covering p
 robabilistic models of learning\, including  Bayesian and structural learn
 ing\, and the interaction  between decision making and sensorimotor contro
 l. \n\nhttp://cbl.eng.cam.ac.uk/Public/Wolpert/WebHome\n\n\n\nsee link for
  location at CHUV: http://www.chuv.ch/cemcav/cemcav_home/cemcav_auditoire/
 cemcav_audit_plan_audit.htm
LOCATION:Auditorium Charlotte Olivier - CHUV
STATUS:CONFIRMED
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