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Pramod Kaushik

Centre Inria de l'université de Bordeaux

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Approach:statistical model· 1

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Frédéric AlexandreiD· 1 shared Jérémie NaudéiD· 1 shared Raju Surampudi BapiiD· 1 shared

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Frédéric AlexandreORCID

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NeurosciencebioRxivFeb 6, 2020

A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning

Pramod Kaushik, Jérémie Naudé, Raju Surampudi Bapi, Frédéric Alexandre

This paper presents a computational model of reward prediction error computation in the VTA, proposing that GABA signals encode magnitude and timing separately from the Ventral Striatum and Peduncolopontine.

3 citations

statistical model