Dynamics of reward based decision making a computational study

Bhargav Teja Nallapu (1, 2) , Nicolas P. Rougier (1, 3)

1 Mnemosyne - Mnemonic Synergy
2 IIIT-H - International Institute of Information Technology, Hyderabad [Hyderabad]
3 IMN - Institut des Maladies Neurodégénératives [Bordeaux]

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 ?

Mots clés: Decision making; neural dynamics; basal ganglia; optimal behavior

Domaines: Neurosciences

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