Attractor dynamics in a modular network model of the cerebral cortex
2006 (English)In: Neurocomputing, ISSN 0925-2312, Vol. 69, no 10-12, 1155-1159 p.Article in journal (Refereed) Published
Computational models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a similar, biophysically detailed but subsampled network model of neocortex. We study how the neurodynamics and associative memory properties of this biophysical model relate to the abstract model as well as to experimental data. The resulting network exhibits attractor dynamics; pattern completion and pattern rivalry. It reproduces several features of experimentally observed local UP states, as well as oscillatory behavior on the gamma and theta time scales observed in the cerebral cortex.
Place, publisher, year, edition, pages
2006. Vol. 69, no 10-12, 1155-1159 p.
attractor memory, cortex, gamma rhythm, conduction-based models, UP states
IdentifiersURN: urn:nbn:se:kth:diva-6309DOI: 10.1016/j.neucom.2005.12.065ISI: 000237873900035ScopusID: 2-s2.0-33646110257OAI: oai:DiVA.org:kth-6309DiVA: diva2:10988
QC 20100831. Cited References: 17 [ view related records ] Citation MapCitation Map
Conference: 14th Annual Computational Neuroscience Meeting (CNS 05). Madison, WI. JUL 17-21, 20052006-11-012006-11-012011-10-04Bibliographically approved