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A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons
Kai KINOSHITA Hiroyuki TORIKAI
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E94-A
No.1
pp.300-314 Publication Date: 2011/01/01 Online ISSN: 1745-1337
DOI: 10.1587/transfun.E94.A.300 Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: spiking neuron model, synchronization, pulse-coupled neural network, self-organization,
Full Text: PDF>>
Summary:
In this paper, an artificial sub-threshold oscillating spiking neuron is presented and its response phenomena to an input spike-train are analyzed. In addition, a dynamic parameter update rule of the neuron for achieving synchronizations to the input spike-train having various spike frequencies is presented. Using an analytical two-dimensional return map, local stability of the parameter update rule is analyzed. Furthermore, a pulse-coupled network of the neurons is presented and its basic self-organizing function is analyzed. Fundamental comparisons are also presented.
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