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Letter
Nature 437, 1158-1161 (20 October 2005) | doi:10.1038/nature04053; Received 2 June 2005; Accepted 21 July 2005
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Activity of striatal neurons reflects dynamic encoding and recoding of procedural memories
Terra D. Barnes1,3, Yasuo Kubota1,3, Dan Hu1, Dezhe Z. Jin1,2 & Ann M. Graybiel1
- Department of Brain and Cognitive Sciences and the McGovern Institute for Brain Research, Massachusetts Institute of Technology, 43 Vassar Street, 46-6133, Cambridge, Massachusetts 02139, USA
- Department of Physics, Pennsylvania State University, 0104 Davey Laboratory, University Park, Pennsylvania 16802, USA
- *These authors contributed equally to this work
Correspondence to: Ann M. Graybiel1 Correspondence and requests for materials should be addressed to A.M.G. (Email: graybiel@mit.edu).
Abstract
Learning to perform a behavioural procedure as a well-ingrained habit requires extensive repetition of the behavioural sequence, and learning not to perform such behaviours is notoriously difficult. Yet regaining a habit can occur quickly, with even one or a few exposures to cues previously triggering the behaviour1, 2, 3. To identify neural mechanisms that might underlie such learning dynamics, we made long-term recordings from multiple neurons in the sensorimotor striatum, a basal ganglia structure implicated in habit formation4, 5, 6, 7, 8, in rats successively trained on a reward-based procedural task, given extinction training and then given reacquisition training. The spike activity of striatal output neurons, nodal points in cortico-basal ganglia circuits, changed markedly across multiple dimensions during each of these phases of learning. First, new patterns of task-related ensemble firing successively formed, reversed and then re-emerged. Second, task-irrelevant firing was suppressed, then rebounded, and then was suppressed again. These changing spike activity patterns were highly correlated with changes in behavioural performance. We propose that these changes in task representation in cortico-basal ganglia circuits represent neural equivalents of the explore–exploit behaviour characteristic of habit learning.
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