An Analog/Digital Simulation System for Biomimetic Neural Networks

Abstract : This work presents a tool addressing the investigation of spiking neural networks, in a tentative understanding of the temporal coding of information by such networks. Detailed and biologically-realistic models of neurons can then be implemented to simulate neural dynamics at the single cell level. Network-level simulations are also possible, including the computation of adaptive functions (connectivity and plasticity rules). We will present a system we engineered to allow real-time simulations of neural networks. It combines analog VLSI artificial neurons with software modules, with enough flexibility on the models to allow a systematic exploration of the neural network dynamics, including adaptation rules.
Type de document :
Communication dans un congrès
EPFL Latsis Symposium 2006, Mar 2006, Lausanne, Switzerland. pp.00, 2006
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https://hal.archives-ouvertes.fr/hal-00181384
Contributeur : Sylvain Saighi <>
Soumis le : mardi 23 octobre 2007 - 16:05:40
Dernière modification le : jeudi 11 janvier 2018 - 06:21:07

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  • HAL Id : hal-00181384, version 1

Citation

Y. Bornat, S. Renaud, J. Tomas, S. Saighi, Q. Zou, et al.. An Analog/Digital Simulation System for Biomimetic Neural Networks. EPFL Latsis Symposium 2006, Mar 2006, Lausanne, Switzerland. pp.00, 2006. 〈hal-00181384〉

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