DocumentCode :
1813600
Title :
Computer implementation of a multi-neuron expandable network
Author :
Alkesza, M.E. ; Reisman, S.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
1992
fDate :
1992
Firstpage :
81
Lastpage :
82
Abstract :
An attempt was made to develop a small, expandable neural network that would oscillate when presented with an appropriate stimulus. The focus of the research is the modification and expansion of a single neuron simulation into a simulation of an interconnected multineuron oscillatory network. A single neuron model based on the work of Hodgkin-Huxley is used to develop a simulation of a generalized, expandable, 3*3 (9 neurons (N1-N9)) interconnected network. Each neuron has multiple inputs and outputs. These neurons can be either inhibitory or excitatory. The model is general enough to be expandable and should be able to handle any set of random interconnections.
Keywords :
bioelectric potentials; biology computing; digital simulation; neural nets; neurophysiology; physiological models; 3 by 3 interconnected network; axon action potential; computer implementation; excitatory neurons; inhibitory neurons; interconnected multineuron oscillatory network; membrane currents; multi-neuron expandable network; multiple inputs; multiple outputs; random interconnections; single neuron simulation; Appropriate technology; Biological system modeling; Biomedical engineering; Biomembranes; Computational modeling; Computer networks; Computer simulation; Delay effects; Fires; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 1992., Proceedings of the 1992 Eighteenth IEEE Annual Northeast
Conference_Location :
Kingston, RI, USA
Print_ISBN :
0-7803-0902-2
Type :
conf
DOI :
10.1109/NEBC.1992.285964
Filename :
285964
Link To Document :
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