A neural simulation system based on biologically realistic electronic neurons

Authors:
S. Renaud-Le Masson;G. Le Masson;L. Alvado;S. Saïghi;J. Tomas
Affiliations:
Laboratoire IXL, CNRS UMR 5818, ENSEIRB-Université Bordeaux 1, 351 Cours de la Libération, 33405 Talence, France;INSERM EPI 9914, Institut François Magendie, I rue Camille Saint-Saëns, 33077 Bordeaux, France;Laboratoire IXL, CNRS UMR 5818, ENSEIRB-Université Bordeaux 1, 351 Cours de la Libération, 33405 Talence, France;Laboratoire IXL, CNRS UMR 5818, ENSEIRB-Université Bordeaux 1, 351 Cours de la Libération, 33405 Talence, France;Laboratoire IXL, CNRS UMR 5818, ENSEIRB-Université Bordeaux 1, 351 Cours de la Libération, 33405 Talence, France
Venue:
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Year:
2004

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Abstract

This paper describes an original neural simulation platform designed as a tool for computational neuroscience. The system, based on artificial electronic neurons implemented in specific integrated circuits, computes in real-time and emulates in analogue mode the electrical activity of single neurons or small neural networks. Neurons are modelled using a biologically realistic description of membrane excitability and synaptic connectivity. The characteristics of the simulator are discussed and simulation examples are presented, including the implementation of "hybrid networks", where living neurons and artificial one are interacting in real-time in a mixed neural network.