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dc.contributor.authorWilson, Marcus T.
dc.contributor.authorRobinson, Peter A.
dc.contributor.authorO'Neill, B.
dc.contributor.authorSteyn-Ross, D. Alistair
dc.coverage.spatialUnited Statesen_NZ
dc.date.accessioned2013-01-24T21:01:42Z
dc.date.available2013-01-24T21:01:42Z
dc.date.copyright2012-06-21
dc.date.issued2012
dc.identifier.citationWilson, M. T., Robinson, P. A., O Neill, B., & Steyn-Ross, D. A. (2012). Complementarity of spike- and rate-based dynamics of neural systems. (V. K. Jirsa, Ed.) PLoS Computational Biology, 8(6), e1002560.en_NZ
dc.identifier.issn1553-734x
dc.identifier.urihttps://hdl.handle.net/10289/7112
dc.description.abstractRelationships between spiking-neuron and rate-based approaches to the dynamics of neural assemblies are explored by analyzing a model system that can be treated by both methods, with the rate-based method further averaged over multiple neurons to give a neural-field approach. The system consists of a chain of neurons, each with simple spiking dynamics that has a known rate-based equivalent. The neurons are linked by propagating activity that is described in terms of a spatial interaction strength with temporal delays that reflect distances between neurons; feedback via a separate delay loop is also included because such loops also exist in real brains. These interactions are described using a spatiotemporal coupling function that can carry either spikes or rates to provide coupling between neurons. Numerical simulation of corresponding spike- and rate-based methods with these compatible couplings then allows direct comparison between the dynamics arising from these approaches. The rate-based dynamics can reproduce two different forms of oscillation that are present in the spike-based model: spiking rates of individual neurons and network-induced modulations of spiking rate that occur if network interactions are sufficiently strong. Depending on conditions either mode of oscillation can dominate the spike-based dynamics and in some situations, particularly when the ratio of the frequencies of these two modes is integer or half-integer, the two can both be present and interact with each other.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherPublic Library of Scienceen_NZ
dc.relation.ispartofPLoS Computational Biology
dc.rights© 2012 Wilson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are redited.en_NZ
dc.subjectneuronsen_NZ
dc.subjectnumerical simulationen_NZ
dc.subjectrate-based dynamicsen_NZ
dc.subjectspike-based dynamicsen_NZ
dc.titleComplementarity of spike- and rate-based dynamics of neural systemsen_NZ
dc.typeJournal Articleen_NZ
dc.identifier.doi10.1371/journal.pcbi.1002560en_NZ
dc.relation.isPartOfPLOS Computational Biologyen_NZ
pubs.begin-page1en_NZ
pubs.elements-id37899
pubs.end-page19en_NZ
pubs.issue6en_NZ
pubs.volume8en_NZ
uow.identifier.article-noARTN e1002560en_NZ


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