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DTSTART:20250309T070000
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DTSTART:20251102T060000
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UID:69d15f9623ef3
DTSTART;TZID=America/Toronto:20251202T153000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20251202T163000
URL:https://uwaterloo.ca/centre-for-theoretical-neuroscience/events/ctn-sem
 inar-jonathan-michaels
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West Waterloo ON N2L 3G1 Canada
SUMMARY:CTN Seminar Jonathan A. Michaels
CLASS:PUBLIC
DESCRIPTION:Location: DC 1304 \n\nTitle: Sensory expectations shape neural
  population dynamics in motor\ncircuits\n\nAbstract: The neural basis of m
 ovement preparation has been\nextensively studied during self-initiated ac
 tions where motor cortical\nactivity during preparation shows a lawful rel
 ationship to the\nparameters of the subsequent action. However\, movements
  are regularly\ntriggered or corrected based on sensory inputs caused by d
 isturbances\nto the body. Since such disturbances are often predictable an
 d since\npreparing for disturbances would make movements better\, we\nhypo
 thesized that expectations about sensory inputs also influence\npreparator
 y activity in motor circuits. Here we show that when humans\nand monkeys a
 re probabilistically cued about the direction of future\nmechanical pertur
 bations\, they incorporate sensory expectations into\ntheir movement prepa
 ration and improve their corrective responses.\nUsing high-density neural 
 recordings\, we establish that sensory\nexpectations are widespread across
  the brain\, including the motor\ncortical areas involved in preparing sel
 f-initiated actions. The\ngeometry of these preparatory signals in the neu
 ral population state\nis simple\, directly scaling with the probability of
  each perturbation\ndirection. After perturbation onset\, a condition-inde
 pendent signal\nshifts the neural state leading to rapid responses that in
 itially\nreflect sensory expectations. Based on neural networks coupled to
  a\nbiomechanical model of the arm\, we show that this neural geometry\nem
 erges only when sensory inputs signal that a perturbation has\noccurred be
 fore resolving the direction of the perturbation. Thus\,\njust as preparat
 ory activity sets the stage for self-initiated\nmovement\, it also config
 ures motor circuits to respond efficiently to\nsensory inputs.
DTSTAMP:20260404T185934Z
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