Bifurcation Analysis of a Resonate-and-Fire-Type Digital Spiking Neuron

Authors:
Tetsuya Hishiki;Hiroyuki Torikai
Affiliations:
Graduate School of Engineering Science, Osaka University, Toyonaka, Japan 560-8531;Graduate School of Engineering Science, Osaka University, Toyonaka, Japan 560-8531
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Year:
2009

Citing 5
Cited 0

Pulsed Neural Networks

Pulsed Neural Networks
2008 Special Issue: Digital spiking neuron and its learning for approximation of various spike-trains

Neural Networks
Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithm

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A novel hybrid spiking neuron: response analysis and learning potential

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Which model to use for cortical spiking neurons?

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a generalized model of a resonate-and-fire-type digital spiking neuron. Depending on a stimulation input, the neuron generates various firing spike-trains. Using a hybrid return map, we can analyze typical bifurcation phenomena of the neuron. The analysis clarifies that the generalized model can mimic many responses of biological spiking neurons.