Computer implementation of a multi-neuron expandable network

Document Type

Conference Proceeding

Publication Date

1-1-1992

Abstract

The primary goal of this research is to develop a small, expandable neural network that would oscillate when presented with an appropriate stimulus. This model will be used in the future as a base to create larger networks. Future studies of these larger networks may be used in the simulation of neuronal activity such as synchronous bursting and biological oscillators. The focus of the research is the modification and expansion of a single neuron simulation into a simulation of an interconnected multi-neuron oscillatory network. A single neuron model based on the work of Hodgkin-Huxley is used to develop a simulation of a generalized, expandable, 3x3 (9 neurons (N1-N9)) interconnected network. Each neuron has multiple inputs and outputs. These neurons can be either inhibitory or excitatory. The model is to be general enough to be expandable, and should be able to handle any set of random interconnections.

Identifier

85065818900 (Scopus)

ISBN

[0780309022]

Publication Title

Proceedings of the IEEE Annual Northeast Bioengineering Conference Nebec

External Full Text Location

https://doi.org/10.1109/NEBC.1992.285964

e-ISSN

21607001

ISSN

1071121X

First Page

81

Last Page

82

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