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dc.contributor.authorWilson, Marcus T.
dc.contributor.authorSteyn-Ross, D. Alistair
dc.contributor.authorSleigh, James W.
dc.contributor.authorSteyn-Ross, Moira L.
dc.coverage.spatialUnited Statesen_NZ
dc.date.accessioned2008-11-20T02:55:43Z
dc.date.available2008-11-20T02:55:43Z
dc.date.issued2006-12
dc.identifier.citationWilson, M. T., Steyn-Ross, D. A., Sleigh, J. W. & Steyn-Ross, M. L. (2006). The K-complex and slow oscillation in terms of a mean-field cortical model. Journal of Computational Neuroscience, 21(3), 243.en_US
dc.identifier.issn09295313
dc.identifier.urihttps://hdl.handle.net/10289/1418
dc.description.abstractWe use a mean-field macrocolumn model of the cerebral cortex to offer an interpretation of the K-complex of the electroencephalogram to complement those of more detailed neuron-by-neuron models. We interpret the K-complex as a momentary excursion of the cortex from a stable low-firing state to an unstable high-firing state, and hypothesize that the related slow oscillation can be considered as the periodic oscillation between two meta-stable solutions of the mean-field model. By incorporating a Hebbian-style learning rule that links the growth in synapse strength to fluctuations in soma potential, we demonstrate a self-organization behaviour that draws the modelled cortex close to the edge of stability of the low-firing state. Furthermore, a very slow oscillation can occur in the excitability of the cortex that has similarities with the infra-slow oscillation of sleep.en_US
dc.language.isoen
dc.publisherSpringer New York LLCen_NZ
dc.subjectAnimalsen_US
dc.subjectCerebral Cortex - cytologyen_US
dc.subjectCerebral Cortex - physiologyen_US
dc.subjectElectroencephalography - methodsen_US
dc.subjectModelsen_US
dc.subjectBiologicalen_US
dc.subjectNeurons - cytologyen_US
dc.subjectNeurons - physiologyen_US
dc.subjectSleep - physiologyen_US
dc.subjectSynapses - physiologyen_US
dc.titleThe K-complex and slow oscillation in terms of a mean-field cortical modelen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1007/s10827-006-7948-6en_US
dc.relation.isPartOfJournal of Computational Neuroscienceen_NZ
pubs.begin-page243en_NZ
pubs.editionDecemberen_NZ
pubs.elements-id32055
pubs.end-page257en_NZ
pubs.issue3en_NZ
pubs.volume21en_NZ
uow.identifier.article-no3en_NZ


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