Abstract : We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists of an abstract model of spiking neurons and an efficient event-driven simulation engine so as to achieve good performance in the simulation phase while maintaining a high level of flexibility and programmability in the modelling phase. Our model of neurons encompasses a large class of spiking neurons ranging from usual leaky integrate-and-fire neurons to more abstract neurons, e.g. defined as complex finite state machines. As a result, the proposed framework allows the simulation of large networks that can be composed of unique or different types of neurons.
https://hal.inria.fr/inria-00099501
Contributeur : Publications Loria
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Soumis le : mardi 26 septembre 2006 - 09:37:33
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48
Document(s) archivé(s) le : mercredi 29 mars 2017 - 12:46:15
Olivier Rochel, Dominique Martinez. An event-driven framework for the simulation of networks of spiking neurons. 11th European Symposium On Artificial Neural Networks - ESANN'2003, Apr 2003, Bruges, Belgium, 6 p, 2003. 〈inria-00099501〉
