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Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival

Renaud Jolivet·Wulfram Gerstner
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Abstract

Reduced models of neuronal activity such as Integrate-and-Fire models allow a description of neuronal dynamics in simple, intuitive terms and are easy to simulate numerically. We present a method to fit an Integrate-and-Fire-type model of neuronal activity, namely a modified version of the Spike Response Model, to a detailed Hodgkin-Huxley-type neuron model driven by stochastic spike arrival. In the Hogkin-Huxley model, spike arrival at the synapse is modeled by a change of synaptic conductance. For such conductance spike input, more than 70% of the postsynaptic action potentials can be predicted with the correct timing by the Integrate-and-Fire-type model. The modified Spike Response Model is based upon a linearized theory of conductance-driven Integrate-and-Fire neuron.

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Renaud Jolivet, Wulfram Gerstner. 2004-07-06. Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. https://doi.org/10.1016/j.jphysparis.2005.09.010

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