An Analog/Digital Simulation System for Biomimetic Neural Networks

Y. Bornat (1) , S. Renaud (1) , J. Tomas (1) , S. Saighi (1) , Q. Zou , A. Destexhe

1 IMS - Laboratoire de l'intégration, du matériau au système

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.

Domaines: Micro et nanotechnologies/Microélectronique

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⟩