Exploring the cognitive and motor functions of the basal ganglia: An integrative review of computational cognitive neuroscience models

Sebastien Helie*, Srinivasa Chakravarthy, Ahmed A. Moustafa

*Corresponding author for this work

Research output: Contribution to journalReview articleResearchpeer-review

43 Citations (Scopus)

Abstract

Many computational models of the basal ganglia (BG) have been proposed over the past twenty-five years. While computational neuroscience models have focused on closely matching the neurobiology of the BG, computational cognitive neuroscience (CCN) models have focused on how the BG can be used to implement cognitive and motor functions. This review article focuses on CCN models of the BG and how they use the neuroanatomy of the BG to account for cognitive and motor functions such as categorization, instrumental conditioning, probabilistic learning, working memory, sequence learning, automaticity, reaching, handwriting, and eye saccades. A total of 19 BG models accounting for one or more of these functions are reviewed and compared. The review concludes with a discussion of the limitations of existing CCN models of the BG and prescriptions for future modeling, including the need for computational models of the BG that can simultaneously account for cognitive and motor functions, and the need for a more complete specification of the role of the BG in behavioral functions.

Original languageEnglish
Article number174
JournalFrontiers in Computational Neuroscience
Volume7
DOIs
Publication statusPublished - 6 Dec 2013
Externally publishedYes

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