On strongly connected networks with excitable-refractory dynamics and delayed coupling

Abstract

We consider a directed graph model for the human brain's neural architecture that is based on small scale, directed, strongly connected sub-graphs (SCGs) of neurons, that are connected together by a sparser mesoscopic network. We assume transmission delays within neuron-to-neuron stimulation, and that individual neurons have an excitable-refractory dynamic… (More)
DOI: 10.1098/rsos.160912

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