Basic analysis of digital spike maps

Authors:
Narutoshi Horimoto;Takashi Ogawa;Toshimichi Saito
Affiliations:
Hosei University, Koganei, Tokyo, Japan;Hosei University, Koganei, Tokyo, Japan;Hosei University, Koganei, Tokyo, Japan
Venue:
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Year:
2012

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Abstract

This paper studies digital spike maps that can generate various periodic spike-trains. In order to analyze the maps, we present a simple analysis algorithm to calculate basic feature quantities. We then analyze a typical example of the map given by discretizing the bifurcating neuron. Applying the algorithm to the example, we demonstrate complex dynamics and give basic classification of the dynamics.