Modeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models

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dc.contributor.authorSotero, Roberto C.
dc.date.accessioned2018-09-27T11:26:14Z
dc.date.available2018-09-27T11:26:14Z
dc.date.issued2015-10-11
dc.date.updated2018-09-27T11:26:14Z
dc.description.abstractPhase-amplitude coupling (PAC), the phenomenon where the amplitude of a high frequency oscillation is modulated by the phase of a lower frequency oscillation, is attracting an increasing interest in the neuroscience community due to its potential relevance for understanding healthy and pathological information processing in the brain. PAC is a diverse phenomenon, having been experimentally detected in at least ten combinations of rhythms: delta-theta, delta-alpha, delta-beta, delta-gamma, theta-alpha, theta-beta, theta-gamma, alpha-beta, alpha-gamma, and beta-gamma. However, a complete understanding of the biophysical mechanisms generating this diversity is lacking. Here we review computational models of PAC generation that range from detailed models of neuronal networks, where each cell is described by Hodgkin-Huxley-type equations, to neural mass models (NMMs) where only the average activities of neuronal populations are considered. We argue that NMMs are an appropriate mathematical framework (due to the small number of parameters and variables involved and the richness of the dynamics they can generate) to study the PAC phenomenon.
dc.description.versionPeer Reviewed
dc.identifier.citationRoberto C. Sotero, “Modeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models,” BioMed Research International, vol. 2015, Article ID 915606, 12 pages, 2015. doi:10.1155/2015/915606
dc.identifier.doihttps://doi.org/10.1155/2015/915606
dc.identifier.urihttp://hdl.handle.net/1880/108147
dc.identifier.urihttps://doi.org/10.11575/PRISM/45714
dc.language.rfc3066en
dc.rights.holderCopyright © 2015 Roberto C. Sotero. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.titleModeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models
dc.typeJournal Article
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