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A Field-Programmable Conductance Array IC for Biological Neurons Modeling

  • Vincent Douence
  • S. Renaud-Le Masson
  • S. Saïghi
  • G. Le Masson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Abstract

This paper presents the design and applications of a novel mixed analog-digital integrated circuit, that computes in real time biologicallyrealistic models of neurons and neural networks. The IC is organized as a programmable array of modules, which can be parameterized and interconnected like the modeled cells. On-chip memory cells dynamically store the programming data. The whole analog simulation system exploiting the circuit is described, and applications examples are reported, to validate different configurations and compare with numerical simulations.

Keywords

Artificial Neuron Biological Neuron Biological Neural Network Silicon Neuron Neuron ASICs 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Vincent Douence
    • 1
  • S. Renaud-Le Masson
    • 1
  • S. Saïghi
    • 1
  • G. Le Masson
    • 2
  1. 1.Laboratoire IXL, CNRS UMR 5818, ENSEIRB-Université Bordeaux 1TalenceFrance
  2. 2.Institut François MagendieINSERM EPI 9914BordeauxFrance

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