Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning

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• Incoming faculty at Carnegie Mellon University's Department of Psychology and Postdoc the MRC Cognition and Brain Sciences Unit
• Tuesday 12 March 2024, 10:00-11:00
• CBL Seminar Room, Engineering Department, 4th floor Baker building.

If you have a question about this talk, please contact Samuel Eckmann.

Humans are remarkably adept at learning to use their bodies in a coordinated manner. Understanding how we acquire, adapt, and retain motor skills is one of the principal goals of cognitive neuroscience, and remains a defining challenge for robotics and clinical rehabilitation. While it is well established that sensorimotor learning entails multiple implicit and explicit processes, the underlying computations and neural substrates governing these processes remain poorly understood. Drawing on my research ranging from fine-grain sensorimotor psychophysics to large-scale crowdsourced datasets (test yourself here: [https://multiclamp-c2.web.app/](https://multiclamp-c2.web.app/)), I will highlight core neuropsychological constraints and novel computational insights into sensorimotor learning. This body of work offers a fresh perspective regarding the cerebellum’s role in cognition and action, and has motivated a new hypothesis concerning how the cerebellum coordinates both our physical and mental kinematics.

This talk is part of the Computational Neuroscience series.

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