CMU-led preprint frames strategic motor learning as hypothesis testing
AnnaCiaunica · x · 2026-09-15
A new bioRxiv preprint from Jonathan Tsay and colleagues at CMU, UC Berkeley, Tsinghua, and UBC tackles how we discover what to do when a movement goes wrong.
- The proposed answer: hypothesis testing — testing candidate motor solutions based on sensory evidence.
- The framework explains how we explore new movement patterns and when exploration gives way to an "aha!" moment.
- It unifies strategic motor learning under changing physiological states, biomechanical constraints, and environmental contexts.
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