dc.contributor.author | Wilson, Marcus T. | |
dc.contributor.author | Robinson, Peter A. | |
dc.contributor.author | O'Neill, B. | |
dc.contributor.author | Steyn-Ross, D. Alistair | |
dc.coverage.spatial | United States | en_NZ |
dc.date.accessioned | 2013-01-24T21:01:42Z | |
dc.date.available | 2013-01-24T21:01:42Z | |
dc.date.copyright | 2012-06-21 | |
dc.date.issued | 2012 | |
dc.identifier.citation | Wilson, 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.issn | 1553-734x | |
dc.identifier.uri | https://hdl.handle.net/10289/7112 | |
dc.description.abstract | Relationships 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.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | Public Library of Science | en_NZ |
dc.relation.ispartof | PLoS 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.subject | neurons | en_NZ |
dc.subject | numerical simulation | en_NZ |
dc.subject | rate-based dynamics | en_NZ |
dc.subject | spike-based dynamics | en_NZ |
dc.title | Complementarity of spike- and rate-based dynamics of neural systems | en_NZ |
dc.type | Journal Article | en_NZ |
dc.identifier.doi | 10.1371/journal.pcbi.1002560 | en_NZ |
dc.relation.isPartOf | PLOS Computational Biology | en_NZ |
pubs.begin-page | 1 | en_NZ |
pubs.elements-id | 37899 | |
pubs.end-page | 19 | en_NZ |
pubs.issue | 6 | en_NZ |
pubs.volume | 8 | en_NZ |
uow.identifier.article-no | ARTN e1002560 | en_NZ |