Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit

Curr Opin Neurobiol. 2011 Jun;21(3):368-73. doi: 10.1016/j.conb.2011.04.001. Epub 2011 Apr 29.

Abstract

Accumulating evidence shows that the neural network of the cerebral cortex and the basal ganglia is critically involved in reinforcement learning. Recent studies found functional heterogeneity within the cortico-basal ganglia circuit, especially in its ventromedial to dorsolateral axis. Here we review computational issues in reinforcement learning and propose a working hypothesis on how multiple reinforcement learning algorithms are implemented in the cortico-basal ganglia circuit using different representations of states, values, and actions.

Publication types

  • Review

MeSH terms

  • Algorithms*
  • Animals
  • Basal Ganglia / physiology*
  • Cerebral Cortex / physiology*
  • Humans
  • Neural Pathways / physiology
  • Reinforcement, Psychology*