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Cortex-basal ganglia interaction and attractor states
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-2792-1622
Brain and Cognitive Sciences, MIT, Cambridge, Boston, U.S.A:.
2001 (English)In: Neurocomputing, ISSN 0925-2312, Vol. 38-40, 573-579 p.Article in journal (Refereed) Published
Abstract [en]

We propose a set of hypotheses about how the basal ganglia contribute to information processing in cortical networks and how the cortex and basal ganglia interact during learning and behavior. We introduce a computational model on the level of system of networks. We suggest that the basal ganglia control cortical activity by pushing a local cortical network into a new attractor state, thereby selecting certain attractors over others. The ideas of temporal difference learning and convergence of corticostriatal fibers from multiple cortical areas within the striatum are combined in a modular learning system capable of acquiring behavior with sequential structure.

Place, publisher, year, edition, pages
2001. Vol. 38-40, 573-579 p.
Keyword [en]
basal ganglia, striatum, loops, modeling, recurrent networks, attractor state
National Category
Computer Science
URN: urn:nbn:se:kth:diva-20688DOI: 10.1016/S0925-2312(01)00413-1ISI: 000169129200076OAI: diva2:339384
9th Annual Computational Neuroscience Meeting (CNS*00) Location: BRUGGE, BELGIUM Date: JUL, 2000. QC 20110921Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2011-11-21Bibliographically approved

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