A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons

作者：Kinoshita Kai^*; Torikai Hiroyuki

来源：IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2011, E94A(1): 300-314.

DOI：10.1587/transfun.E94.A.300

• spiking neuron model
• synchronization
• pulse-coupled neural network
• self-organization

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.

• 出版日期2011-1