ON NUMERICAL SIMULATIONS OF INTEGRATE-AND-FIRE NEURAL NETWORKS

Authors
HANSEL D MATO G MEUNIER C NELTNER L
Citation
D. Hansel et al., ON NUMERICAL SIMULATIONS OF INTEGRATE-AND-FIRE NEURAL NETWORKS, Neural computation, 10(2), 1998, pp. 467-483
Citations number
13
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
Journal title
Neural computation → ACNP
ISSN journal
08997667
Volume
10
Issue
2
Year of publication
1998
Pages
467 - 483
Database
ISI
SICI code
0899-7667(1998)10:2<467:ONSOIN>2.0.ZU;2-M
Abstract
It is shown that very small time steps are required to reproduce corre ctly the synchronization properties of large networks of integrate-and -fire neurons when the differential system describing their dynamics i s integrated with the standard Euler or second-order Runge-Kutta algor ithms. The reason for that behavior is analyzed, and a simple improvem ent of these algorithms is proposed.