Corticostriatal Interactions during Learning, Memory Processing, and Decision Making
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 com...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Society for Neuroscience
2010
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| Online Access: | http://hdl.handle.net/1721.1/55963 https://orcid.org/0000-0002-4326-7720 |
| _version_ | 1811085882630864896 |
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| author | 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. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences 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. |
| author_sort | Pennartz, Cyriel M. A. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:17:03Z |
| format | Article |
| id | mit-1721.1/55963 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:17:03Z |
| publishDate | 2010 |
| publisher | Society for Neuroscience |
| record_format | dspace |
| spelling | mit-1721.1/559632022-10-01T14:17:16Z Corticostriatal Interactions during Learning, Memory Processing, and Decision Making 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. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Graybiel, Ann M. Graybiel, Ann M. Smith, Kyle S. 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. 2010-06-25T15:07:46Z 2010-06-25T15:07:46Z 2009-10 2009-09 Article http://purl.org/eprint/type/JournalArticle 1529-2401 http://hdl.handle.net/1721.1/55963 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 https://orcid.org/0000-0002-4326-7720 en_US http://dx.doi.org/10.1523/jneurosci.3177-09.2009 Journal of Neuroscience 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. application/pdf Society for Neuroscience Society for Neuroscience |
| spellingShingle | 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. Corticostriatal Interactions during Learning, Memory Processing, and Decision Making |
| title | Corticostriatal Interactions during Learning, Memory Processing, and Decision Making |
| title_full | Corticostriatal Interactions during Learning, Memory Processing, and Decision Making |
| title_fullStr | Corticostriatal Interactions during Learning, Memory Processing, and Decision Making |
| title_full_unstemmed | Corticostriatal Interactions during Learning, Memory Processing, and Decision Making |
| title_short | Corticostriatal Interactions during Learning, Memory Processing, and Decision Making |
| title_sort | corticostriatal interactions during learning memory processing and decision making |
| url | http://hdl.handle.net/1721.1/55963 https://orcid.org/0000-0002-4326-7720 |
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