Cortex-basal ganglia interaction and attractor states
2001 (English)In: Neurocomputing, ISSN 0925-2312, Vol. 38-40, 573-579 p.Article in journal (Refereed) Published
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.
basal ganglia, striatum, loops, modeling, recurrent networks, attractor state
IdentifiersURN: urn:nbn:se:kth:diva-20688DOI: 10.1016/S0925-2312(01)00413-1ISI: 000169129200076OAI: oai:DiVA.org:kth-20688DiVA: diva2:339384
9th Annual Computational Neuroscience Meeting (CNS*00) Location: BRUGGE, BELGIUM Date: JUL, 2000. QC 201109212010-08-102010-08-102011-11-21Bibliographically approved