Article

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks

2022-09-08

Abstract excerpt

An essential aspect of human motor learning is the formation of inverse models, which map desired actions to motor commands. Inverse models can be learned by adjusting parameters in neural circuits to minimize errors in the performance of motor tasks through gradient descent. However, the theory of gradient descent establishes an upper limit on the learning speed, above which learning becomes unstable. Specificall...

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Literature Corpus work: 7b3b76ef-d0e1-5149-bcdb-05bb61d62d11
DOI: 10.1101/2022.09.07.506913

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