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

• Published in: J. Physiol. Paris (ISSN: 0928-4257), vol. 98, num. 4-6, p. 442-451
• Elsevier, 2004

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.

Note: article

Keywords: Conductance injection ; Integrate-and-fire model ; Stochastic input ; Mapping technique ; Predictive power

Reference

• EPFL-ARTICLE-97818
• doi:10.1016/j.jphysparis.2005.09.010
• View record in Web of Science

Record created on 2006-12-12, modified on 2012-03-21