The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	A computer implementation of a multi-neuron expandable network
Author:	Aleksza, Mary Ellen
View Online:	njit-etd1992-051 (x, 69 pages ~ 2.1 MB pdf)
Department:	Biomedical Engineering Committee
Degree:	Master of Science
Program:	Biomedical Engineering
Document Type:	Thesis
Advisory Committee:	Reisman, Stanley S. (Committee chair) Kristol, David S. (Committee member) Carpinelli, John D. (Committee member)
Date:	1992-05
Keywords:	Neural stimulation -- Computer simulation Neural transmission -- Computer simulation Biological control systems Neurons -- Physiology
Availability:	Unrestricted
Abstract:	The primary goal of this thesis is to develop a small, expandable neural network that oscillates 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 biological oscillators. This thesis encompasses a study of neuron activity, neural networks, neuron models and biological oscillators. The focus of the thesis 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 neuron) interconnected network. The model is general enough to be expanded, include multiple neurons (inhibitory and excitatory) with multiple inputs and outputs, and be able to handle any set of random interconnections.