Digital Dynamical Systems of Spike-Trains
作者： Narutoshi Horimoto , Toshimichi Saito
DOI: 10.1007/978-3-642-42042-9_24
关键词:
摘要: This paper studies a simple digital dynamical system that can generate various spike-trains. In order to consider the steady and transient states, we use two basic feature quantities. The first one is number of co-existing periodic spike-trains characterize richness state. second concentricity transition variation phenomena. Performing numerical experiments for typical examples based on bifurcating neuron, classification dynamics considered.
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