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原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-05-21
摘要
We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that describe 神經 activity on a 網絡 of interconnected cortical regions. This is 數學ly 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 concentrations. 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 網絡 models could hitherto not explai
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