Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:C1L-F
Session:
Number:C1L-F-3
Super-Stabilization of Periodic Spike-Trains in the Digital Spiking Neuron
Kei Yamaoka, Toshimichi Saito,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
This paper considers super-stabilization of periodic spike-train from the digital spiking neuron consisting of two shift registers connected by a wiring. Depending on the wiring, the neuron can generate various periodic spike-trains. In order to super-stabilize a desired periodic spike-train, we present a simple deterministic rewiring method. The super-stabilized periodic spike-trains are applicable to robust and reliable encoders in multiplexing communication systems.