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Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning Wi...

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning Wi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_038ea20e77b9486e867bff6b4a3d665f

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

About this item

Full title

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in computational neuroscience, 2020-07, Vol.14, p.66-66

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

Generalization is the ability to apply past experience to similar but non-identical situations. It not only affects stimulus-outcome relationships, as observed in conditioning experiments, but may also be essential for adaptive behaviors, which involve the interaction between individuals and their environment. Computational modeling could potential...

Alternative Titles

Full title

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_038ea20e77b9486e867bff6b4a3d665f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_038ea20e77b9486e867bff6b4a3d665f

Other Identifiers

ISSN

1662-5188

E-ISSN

1662-5188

DOI

10.3389/fncom.2020.00066

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