Toward biologically realistic models of the motor system
- PMID: 39637836
- DOI: 10.1016/j.neuron.2024.11.005
Toward biologically realistic models of the motor system
Abstract
In this issue of Neuron, Chiappa et al.1 describe how neural networks can be trained to perform complex hand motor skills. A key to their approach is curriculum learning, breaking learning into stages, leading to good control.
Copyright © 2024. Published by Elsevier Inc.
Conflict of interest statement
Declaration of interests S.H.S. is co-founder and chief scientific officer of BKIN Technologies (dba Kinarm), which commercializes interactive robotic technologies for basic and clinical research.
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