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SUMMARY:Towards understanding adaptive intelligence - Mackenzie Mathis\, E
 PFL\, Lausanne\, Switzerland 
DTSTART:20241118T161500Z
DTEND:20241118T180000Z
UID:TALK222520@talks.cam.ac.uk
CONTACT:Prof Máté Lengyel
DESCRIPTION:The neural activity of the brain is intimately coupled to the 
 dynamics of the body. Yet how our hierarchical sensorimotor system dynamic
 ally orchestrates the generation of movement while adapting to incoming se
 nsory information remains unclear. To address this\, in part\, we built a 
 neuro-musculoskeletal control model of the mouse and used it to extract in
 ternal dynamics that range from 3D kinematics to muscle-level control. We 
 find that many neurons in the sensorimotor cortex encode muscle-level feat
 ures\, and these neurons show signatures of sensorimotor prediction errors
  during learning. Together\, our results provide a new model of how neural
  dynamics in the cortex enables adaptive learning.
LOCATION:Hodgkin-Huxley Seminar Room
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