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An event-driven framework for the simulation of networks of spiking neurons

Olivier Rochel 1 Dominique Martinez 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
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Submitted on : Tuesday, September 26, 2006 - 9:37:33 AM
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  • HAL Id : inria-00099501, version 1



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. ⟨inria-00099501⟩



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