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Systèmes neuromorphiques temps réel : contribution a l'intégration de réseaux de neurones biologiquement réalistes avec fonctions de plasticité

Abstract : This work has been supported by the European FACETS project. Within this project, we contribute in developing hardware mixed-signal devices for real-time spiking neural network simulation. These devices may potentially contribute to an improved understanding of learning phenomena in the neo-cortex. Neuron behaviours are reproduced using analog integrated circuits which implement Hodgkin-Huxley based models. In this work, we propose a digital architecture aiming to connect many neuron circuits together, forming a network. The inter-neuron connections are reconfigurable and can be ruled by a plasticity model. The architecture is mapped onto a commercial programmable circuit (FPGA). Many methods are developed to optimize the utilisation of hardware resources as well as to meet real-time constraints. In particular, a token-passing communication protocol has been designed and developed to guarantee real-time aspects of the dialogue between several FPGAs in a multiboard system allowing the integration of a large number of neurons. The global system is able to run neural simulations in biological real-time with high degree of realism, and then can be used by neurobiologists and computer scientists to carry on neural experiments.
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https://tel.archives-ouvertes.fr/tel-00561828
Contributor : Chrystel Plumejeau <>
Submitted on : Wednesday, February 2, 2011 - 9:18:14 AM
Last modification on : Thursday, January 11, 2018 - 6:21:08 AM
Long-term archiving on: : Tuesday, May 3, 2011 - 2:46:44 AM

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  • HAL Id : tel-00561828, version 1

Citation

Bilel Belhadj. Systèmes neuromorphiques temps réel : contribution a l'intégration de réseaux de neurones biologiquement réalistes avec fonctions de plasticité. Micro et nanotechnologies/Microélectronique. Université Sciences et Technologies - Bordeaux I, 2010. Français. ⟨tel-00561828⟩

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