Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions

By combining biological connectivity data with computational modeling, this study provides insights into the neural circuits and computations underlying the active suppression of sensory responses in voluntary actions. These findings contribute to understanding how the brain generates and processes predictions to guide behavior.

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Publication Details

Journal
Frontiers in Computational Neuroscience
Published
2025-09-29
DOI
https://doi.org/10.3389/fncom.2025.1551555
Citations
1
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.43
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article

Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions

Yishuang Huang, Yiling Li
1 citations
Frontiers in Computational Neuroscience
Neural dynamics and brain function
1.43
article

Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions

Yishuang Huang, Yiling Li
article en
1 citations

Abstract

By combining biological connectivity data with computational modeling, this study provides insights into the neural circuits and computations underlying the active suppression of sensory responses in voluntary actions. These findings contribute to understanding how the brain generates and processes predictions to guide behavior.

Frontiers in Computational NeuroscienceVol. 19
Numerical Method (China) (CN), Zhejiang University (CN)
Openalex Percentile: Top 15%
Neural dynamics and brain function
1.43
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