Table of Contents

Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

  1. Pieter Voorn8
  1. 1University of Amsterdam, Swammerdam Institute for Life Sciences Center for Neuroscience, 1098 XH Amsterdam, The Netherlands,
  2. 2Department of Psychology and
  3. 3Neuroscience Program, University of Michigan, Ann Arbor, Michigan 48109,
  4. 4Department of Brain and Cognitive Sciences and
  5. 5McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139,
  6. 6Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom,
  7. 7Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, and
  8. 8Department of Anatomy, Research Institute Neurosciences, Vrije Universiteit University Medical Center, 1007 MB Amsterdam, The Netherlands
  1. Correspondence should be addressed to Cyriel M. A. Pennartz, University of Amsterdam, Swammerdam Institute for Life Sciences Center for Neuroscience, Sciencepark 904, 1098 XH Amsterdam, The Netherlands. c.m.a.pennartz{at}uva.nl

Abstract

This mini-symposium aims to integrate recent insights from anatomy, behavior, and neurophysiology, highlighting the anatomical organization, behavioral significance, and information-processing mechanisms of corticostriatal interactions. In this summary of topics, which is not meant to provide a comprehensive survey, we will first review the anatomy of corticostriatal circuits, comparing different ways by which “loops” of cortical–basal ganglia circuits communicate. Next, we will address the causal importance and systems-neurophysiological mechanisms of corticostriatal interactions for memory, emphasizing the communication between hippocampus and ventral striatum during contextual conditioning. Furthermore, ensemble recording techniques have been applied to compare information processing in the dorsal and ventral striatum to predictions from reinforcement learning theory. We will next discuss how neural activity develops in corticostriatal areas when habits are learned. Finally, we will evaluate the role of GABAergic interneurons in dynamically transforming cortical inputs into striatal output during learning and decision making.