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Conference Papers Year : 2016

Dynamics of reward based decision making a computational study

Abstract

We consider a biologically plausible model of the basal gan-glia that is able to learn a probabilistic two armed bandit task using reinforcement learning. This model is able to choose the best option and to reach optimal performances after only a few trials. However, we show in this study that the influence of exogenous factors such as stimuli salience and/or timing seems to prevail over optimal decision making, hence questioning the very definition of action-selection. What are the ecological conditions for optimal action selection ?

Domains

Neuroscience
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Dates and versions

hal-01333210 , version 1 (17-06-2016)

Identifiers

  • HAL Id : hal-01333210 , version 1

Cite

Bhargav Teja Nallapu, Nicolas P. Rougier. Dynamics of reward based decision making a computational study. ICANN 2016 , Sep 2016, Barcelona, France. ⟨hal-01333210⟩
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