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IEEE Trans Neural Netw Learn Syst. 2014 Aug;25(8):1474-83. doi: 10.1109/TNNLS.2013.2294016.

On the capabilities and computational costs of neuron models.

Abstract

We review the Hodgkin-Huxley, Izhikevich, and leaky integrate-and-fire neuron models in regular spiking modes solved with the forward Euler, fourth-order Runge-Kutta, and exponential Euler methods and determine the necessary time steps and corresponding computational costs required to make the solutions accurate. We conclude that the leaky integrate-and-fire needs the least number of computations, and that the Hodgkin-Huxley and Izhikevich models are comparable in computational cost.

PMID:
25050945
DOI:
10.1109/TNNLS.2013.2294016
[Indexed for MEDLINE]

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