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arXiv · 1703.05504

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

Oleg V. Maslennikov·Dmitry S. Shchapin·Vladimir I. Nekorkin
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Abstract

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. Receiving inputs the system is able to generate reproducible sequences corresponding to stimulus-specific paths in the hypernetwork. We illustrate these basic notions by a simple network of discrete-time spiking neurons together with its FPGA realization and analyze their properties.

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Oleg V. Maslennikov, Dmitry S. Shchapin, Vladimir I. Nekorkin. 2017-03-16. Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons. https://doi.org/10.1098/rsta.2016.0288

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