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A FREQUENCY RESPONSE NEURON MODEL: INTERACTIVE IMPLEMENTATION AND FURTHER SIMULATION EXPERIMENTS

A.R. COVINGTON (Department of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2H1 (Canada))
J.R. SAMPSON (Department of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2H1 (Canada))
R.G. PEDDICORD (Department of Computer Science, University of San Francisco, San Francisco, California 94117 (U.S.A.))

Kybernetes

ISSN: 0368-492X

Article publication date: 1 January 1978

49

Abstract

This paper reports further development and applications of a computational model permitting analysis of frequency response characteristics of simulated neurons. The original single‐neuron model, as described by Peddicord and Sampson in 1974, is briefly reviewed here. There follows a thorough description of a new interactive implementation of the model on a PDP‐11/45. The implementation permits high‐speed simulation of large neural networks, and is designed for easy use by investigators with no special knowledge of computers or programming. Experiments with the new system have included the design of improved bandpass filters, pacemaker neurons and networks, and a cerebellar circuit. Simulation results are presented and, in the last case, compared with available physiological data. The paper concludes with a critique of the system, suggestions for further experiments, and a comparison with the simulation system developed by Perkel. Two appendices document the system data structures and show a sample simulation run.

Citation

COVINGTON, A.R., SAMPSON, J.R. and PEDDICORD, R.G. (1978), "A FREQUENCY RESPONSE NEURON MODEL: INTERACTIVE IMPLEMENTATION AND FURTHER SIMULATION EXPERIMENTS", Kybernetes, Vol. 7 No. 1, pp. 45-59. https://doi.org/10.1108/eb005470

Publisher

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MCB UP Ltd

Copyright © 1978, MCB UP Limited

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