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SUMMARY:Behavioral\, Neuropsychological\, and Computational Perspectives o
 n Sensorimotor Learning - Incoming faculty at Carnegie Mellon University's
  Department of Psychology and Postdoc the MRC Cognition and Brain Sciences
  Unit
DTSTART:20240312T100000Z
DTEND:20240312T110000Z
UID:TALK212041@talks.cam.ac.uk
CONTACT:Samuel Eckmann
DESCRIPTION:Humans are remarkably adept at learning to use their bodies in
  a coordinated manner. Understanding how we acquire\, adapt\, and retain m
 otor skills is one of the principal goals of cognitive neuroscience\, and 
 remains a defining challenge for robotics and clinical rehabilitation. Whi
 le it is well established that sensorimotor learning entails multiple impl
 icit and explicit processes\, the underlying computations and neural subst
 rates governing these processes remain poorly understood. Drawing on my re
 search ranging from fine-grain sensorimotor psychophysics to large-scale c
 rowdsourced datasets (test yourself here: [https://multiclamp-c2.web.app/
 ](https://multiclamp-c2.web.app/))\, I will highlight core neuropsychologi
 cal constraints and novel computational insights into sensorimotor learnin
 g. This body of work offers a fresh perspective regarding the cerebellum
 ’s role in cognition and action\, and has motivated a new hypothesis con
 cerning how the cerebellum coordinates both our physical and mental kinema
 tics.
LOCATION:CBL Seminar Room\, Engineering Department\, 4th floor Baker build
 ing
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