Dataset Information

A Cerebellar Population Coding Model for Sensorimotor Learning.

ABSTRACT: The cerebellum plays a critical role in sensorimotor learning, using error information to keep the sensorimotor system well-calibrated. Here we present a population-coding model of how the cerebellum compensates for motor errors. The model consists of a two-layer network, one corresponding to the cerebellar cortex and the other to the deep cerebellum nuclei, where the units within each layer are tuned to two features, the direction of the movement and the direction of the error. To empirically evaluate the model, we conducted a series of behavioral experiments using a wide range of perturbation schedules. The model successfully accounts for interference from prior learning, the effects of error uncertainties, and learning in response to perturbations that vary across different time scales. Importantly, the model does not require any modulation of the parameters or context-dependent processes during adaptation. Our results provide a novel framework to understand how context and environmental uncertainty modulate learning.

SUBMITTER: Wang T

PROVIDER: S-EPMC10349940 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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A cerebellar population coding model for sensorimotor learning.

Wang Tianhe T Ivry Richard B RB

bioRxiv : the preprint server for biology 20240410

The cerebellum is crucial for sensorimotor adaptation, using error information to keep the sensorimotor system well-calibrated. Here we introduce a population-coding model to explain how cerebellar-dependent learning is modulated by contextual variation. The model consists of a two-layer network, designed to capture activity in both the cerebellar cortex and deep cerebellar nuclei. A core feature of the model is that within each layer, the processing units are tuned to both movement direction an ...[more]

PMID: 37461557

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Dataset Information

A Cerebellar Population Coding Model for Sensorimotor Learning.

Publications

A cerebellar population coding model for sensorimotor learning.

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