Implementation of a Model of the Cortex Basal Ganglia Loop

2024/02/17 by Naoya Arakawa, Arakawa, Naoya
Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Neurological disorders and treatments #Neurons and Cognition (q-bio.NC)

paper · pdf · doi:10.48550/arxiv.2402.13275

openalex publication_date 2024/02/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This article presents a simple model of the cortex-basal ganglia-thalamus loop, which is thought to serve for action selection and executions, and reports the results of its implementation. The model is based on the hypothesis that the cerebral cortex predicts actions, while the basal ganglia use reinforcement learning to decide whether to perform the actions predicted by the cortex. The implementation is intended to be used as a component of models of the brain consisting of cortical regions or brain-inspired cognitive architectures.

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