Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons

We propose a model of an adaptive network of spiking neurons that gives rise to a hypernetwork of its dynamic states at the upper level of description. Left to itself, the network exhibits a sequence of transient clustering which relates to a traffic in the hypernetwork in the form of a random walk....

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Veröffentlicht in:	arXiv.org 2017-03
Hauptverfasser:	Maslennikov, Oleg V, Shchapin, Dmitry S, Nekorkin, Vladimir I
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Neurons Physics - Adaptation and Self-Organizing Systems Quantitative Biology - Neurons and Cognition Random walk Sequences Spiking
Online-Zugang:	Volltext
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