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The role of prospective contingency in the control of behavior and dopamine signals during associative learning.
Qian, Lechen; Burrell, Mark; Hennig, Jay A; Matias, Sara; Murthy, Venkatesh N; Gershman, Samuel J; Uchida, Naoshige.
Afiliación
  • Qian L; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
  • Burrell M; Center for Brain Science, Harvard University, Cambridge, MA, USA.
  • Hennig JA; These authors contributed equally.
  • Matias S; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
  • Murthy VN; Center for Brain Science, Harvard University, Cambridge, MA, USA.
  • Gershman SJ; These authors contributed equally.
  • Uchida N; Center for Brain Science, Harvard University, Cambridge, MA, USA.
bioRxiv ; 2024 Feb 06.
Article en En | MEDLINE | ID: mdl-38370735
ABSTRACT
Associative learning depends on contingency, the degree to which a stimulus predicts an outcome. Despite its importance, the neural mechanisms linking contingency to behavior remain elusive. Here we examined the dopamine activity in the ventral striatum - a signal implicated in associative learning - in a Pavlovian contingency degradation task in mice. We show that both anticipatory licking and dopamine responses to a conditioned stimulus decreased when additional rewards were delivered uncued, but remained unchanged if additional rewards were cued. These results conflict with contingency-based accounts using a traditional definition of contingency or a novel causal learning model (ANCCR), but can be explained by temporal difference (TD) learning models equipped with an appropriate inter-trial-interval (ITI) state representation. Recurrent neural networks trained within a TD framework develop state representations like our best 'handcrafted' model. Our findings suggest that the TD error can be a measure that describes both contingency and dopaminergic activity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos