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

ABSTRACT: 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 potentially clarify the effect of generalization on adaptive behaviors and how this effect emerges from the underlying computation. Recent neurobiological observation indicated that the striatal dopamine system achieves generalization and subsequent discrimination by updating the corticostriatal synaptic connections in differential response to reward and punishment. In this study, we analyzed how computational characteristics in this neurobiological syste

SUBMITTER: Fujita Y 

PROVIDER: S-EPMC7388898 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature