A neuromimetic integrated circuit for interactive real-time simulation

  • Authors:

  • Sylvain Saïghi;Jean Tomas;Yannick Bornat;Sylvie Renaud

  • Affiliations:

  • IXL Laboratory, UMR 5818 CNRS, ENSEIRB-University Bordeaux 1, Talence, France;IXL Laboratory, UMR 5818 CNRS, ENSEIRB-University Bordeaux 1, Talence, France;IXL Laboratory, UMR 5818 CNRS, ENSEIRB-University Bordeaux 1, Talence, France;IXL Laboratory, UMR 5818 CNRS, ENSEIRB-University Bordeaux 1, Talence, France

  • Venue:
  • IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
  • Year:
  • 2005

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Abstract

This paper presents a new analog neuromimetic Integrated Circuit. This IC includes tunable analog computation cores, which are based on Hodgkin-Huxley formalism, calcium channel and calcium-dependent potassium channel. The analog computation cores compute in real-time biologically realistic models of neurons and they are tuned by built-in digital functions. Several topologies are possible to reproduce different neural activity like fast spiking or regular spiking. Those activities are presented to illustrate the diversity of models simulated by this IC.