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Une approche événementielle pour la modélisation et la simulation de réseaux de neurones impulsionnels

Abstract : At present, there exists no generic modeling and simulation framework that addresses the study of large spiking neural networks. In the existing models, the impulses are generally associated with discontinuities in the otherwise continuous dynamics of the neurons. This raises modeling and practical implementation issues. We propose an novel approach based on the discrete-event system abstraction, grounded on the DEVS formalism, that can be used to represent a large class of spiking neurons and permits the modeling of large networks. A simulation engine has been developed on top of this formalism. It is based on an efficient event-driven algorithm and has been evaluated on sequential as well as parallel machines. We have tested our approach within a multi-disciplinary project on olfactory perception.
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Theses
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http://docnum.univ-lorraine.fr/prive/SCD_T_2004_0004_ROCHEL.pdf
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https://hal.univ-lorraine.fr/tel-01746818
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Submitted on : Thursday, March 29, 2018 - 10:45:25 AM
Last modification on : Wednesday, September 2, 2020 - 3:43:02 PM

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  • HAL Id : tel-01746818, version 1

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Olivier Rochel. Une approche événementielle pour la modélisation et la simulation de réseaux de neurones impulsionnels. Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 2004. Français. ⟨NNT : 2004NAN10004⟩. ⟨tel-01746818⟩

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