Modeling the Role of Striatum in Stochastic Multi Context Tasks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Preprints, Working Papers, ... Year : 2017

Modeling the Role of Striatum in Stochastic Multi Context Tasks

Abstract

Decision making tasks in changing environments with probabilistic reward schemes present various challenges to the agents performing the task. These agents must use the experience gained in the past trials to characterize the environment which guides their actions. We present two models to predict an agent's behavior in these tasks-a theoretical model which defines a Bayes optimal solution to the problem under realistic task conditions. The second is a computational model of the basal ganglia which presents a neural mechanism to solve the same. Both the models are shown to reproduce results in behavioral experiments and are compared to each other. This comparison allows us to characterize the theoretical model as a bound on the neural model and the neural model as a biologically plausible implementation of the theoretical model. Furthermore, we predict the performance of the agents in various stochastic regimes which could be tested in future studies.

Domains

Neuroscience
Fichier principal
Vignette du fichier
196543.full.pdf (2.01 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01654436 , version 1 (04-12-2017)

Identifiers

Cite

Sabyasachi Shivkumar, V Srinivasa Chakravarthy, Nicolas P. Rougier. Modeling the Role of Striatum in Stochastic Multi Context Tasks. 2017. ⟨hal-01654436⟩
112 View
80 Download

Altmetric

Share

Gmail Facebook X LinkedIn More