Resonance of a stochastic spiking neuron mimicking the Hodgkin-Huxley model

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Abstract

This article theoretically examines the stochastic process of a spiking neuron whose spike response is similar to that of the Hodgkin-Huxley (H-H) model. Our simplified model based on a linear differential equation can successfully reproduce the subthreshold membrane properties of the H-H model. Analyzing the stochastic process of this model, we find that the neuron resonates with Poisson input spikes whose intensity oscillates with a certain frequency. This frequency corresponds to the proper frequency of the H-H model.

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Amemori, K. I., & Ishii, S. (2001). Resonance of a stochastic spiking neuron mimicking the Hodgkin-Huxley model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2130, pp. 1087–1094). Springer Verlag. https://doi.org/10.1007/3-540-44668-0_151

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