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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.
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Contributor : Sylvain Saighi Connect in order to contact the contributor
Submitted on : Tuesday, October 23, 2007 - 4:05:40 PM
Last modification on : Thursday, January 11, 2018 - 6:21:07 AM


  • HAL Id : hal-00181384, version 1


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. ⟨hal-00181384⟩



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