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arXiv Machine Learning By Ana Carolina Filipe, Rui Ponte Costa, Cl\'audia Soares

Error- and Prediction-Driven Motor Learning in the Cortico-Cerebellar Loop

Read the original on arXiv Machine Learning →

The paper presents a cerebellum-inspired control framework that addresses robust control under delayed sensory feedback. By combining multiplexed predictive representations with internal feedback, the model jointly encodes kinematic variables and task-relevant error signals, enabling accurate online correction despite delays. Incorporating feedback within the cerebellar loop also accelerates adaptation, reducing learning time by an order of magnitude.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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