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来源类型Article
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DOI10.1038/srep10015
Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity.
Sadilek M; Thurner S
发表日期2015
出处Scientific Reports 5: no.10015
出版年2015
语种英语
摘要We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that describe neural activity on a network of interconnected cortical regions. This is mathematically possible due to the existence of a unique, stable limit cycle, weak coupling, and inhibitory synaptic time delays. We study the phase diagram of this model numerically as a function of the inter-regional connection strength that is related to cerebral blood flow, and a phase shift parameter that is associated with synaptic GABA cncentrations. We find three macroscopic phases of cortical activity: background activity (unsynchronized oscillations), epileptiform activity (highly synchronized oscillations) and resting-state activity (synchronized clusters/chaotic behaviour). Previous network models could hithero not explain the existence of all three phases. We further observe a shift of the average oscillation frequency towards lower values together with the appearance of coherent slow oscillations at the transition from resting-state to epileptiform activity. This observation is fully in line with experimental data and could explain the influence of GABAergic drugs both on gamma oscillations and epileptic states. Compared to previous models for gamma oscillations and resting-state activity, the multiplex Kuramoto model not only provides a unifying framework, but also has a direct connection to measurable physiological parameters.
主题Advanced Systems Analysis (ASA)
URLhttp://pure.iiasa.ac.at/id/eprint/11438/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/130242
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Sadilek M,Thurner S. Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity.. 2015.
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