Takuya Nanami, Takashi Kohno
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
pp. 66–70
ABSTRACT
In the nervous system, there is a broad variety of neuron types, each exhibiting distinct firing properties. Although these neurons are considered important, the understanding of their role in information processing remains limited. In this study, we constructed a simple network using a piecewise quadratic neuron (PQN) model that can reproduce a variety of neuronal activities. Further, we examined the effect of various neuronal dynamics on the success rate of a biologically plausible spike-pattern detection task. The simulation results showed that certain mathematical structures increased the success rate of spike-pattern detection.

ARTICLE INFO
Article History
Received 25 November 2022
Accepted 08 September 2023
Keywords
PQN model
Spike pattern detection
Spiking neuron model
Spiking neuronal network

JRNAL10110

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