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Neural Comput. 1998 Feb 15;10(2):467-83.

On numerical simulations of integrate-and-fire neural networks.

Author information

1
Centre de Physique Théorique UPR014 CNRS, Ecole Polytechnique, Palaiseau, France.

Abstract

It is shown that very small time steps are required to reproduce correctly the synchronization properties of large networks of integrate-and-fire neurons when the differential system describing their dynamics is integrated with the standard Euler or second-order Runge-Kutta algorithms. The reason for that behavior is analyzed, and a simple improvement of these algorithms is proposed.

PMID:
9472491
[Indexed for MEDLINE]

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