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Article

A Bayesian decision-making model of implicit motor learning from internal and external errors

2025-02-01

Abstract excerpt

A key challenge for the sensorimotor system is deciding which errors to learn from and which to ignore. Recent work has shown that humans are remarkably precise in parsing movement errors into internally- and externally-generated components for this purpose: Participants automatically ignore internally-generated reaching errors caused by motor noise, yet implicitly adapt to size-matched externally-generated errors...

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Literature Corpus work
ef09afb4-1c9b-58b6-90c6-aa8e761bae33
DOI
10.1101/2025.01.30.635749
Open publication

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A Bayesian decision-making model of implicit motor learning from internal and external errorsDOI 10.1101/2025.01.30.635749
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