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On numerical simulations of integrate-and-fire neural networks
1Centre de Physique Théorique UPR014 CNRS, Ecole Polytechnique, Palaiseau, France.
Neural Computation
|February 24, 1998
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.