Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

Thumbnail Image
Download
Name

Pennartz-2009-Corticostriatal Inte.pdf

Size

1.2 MB

Format

Adobe PDF

Checksum (MD5)

052253aced64909a5f2b7981cc05ac78

Author(s)
Pennartz, Cyriel M. A.
•
Berke, Joshua D.
•
Ito, Rutsuko
•
Lansink, Carien S.
•
van der Meer, Matthijs
•
Redish, A. David
•
Voorn, Pieter
•
Graybiel, Ann M.
•
Smith, Kyle S.
Date Issued
October 2009
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Citation
Pennartz, Cyriel M. A et al. “Corticostriatal Interactions during Learning, Memory Processing, and Decision Making.” J. Neurosci. 29.41 (2009): 12831-12838. © 2009 The Society for Neuroscience
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/55963
DOI of Published Version
https://doi.org/10.1523/jneurosci.3177-09.2009
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.