Proceedings Article10.1109/CNNA.1994.381709
Some cortical spiking neuron models using CNN
K. Lotz,Zoltán Vidnyánszky,T. Roskar,Joos Vandewalle,J. Hámori,A. Jacobs,F. Werblin +6 more
- 18 Dec 1994
- pp 41-46
TL;DR: CNN models of neurons with diverse intrinsic firing patterns characterised by diverse spiking patterns and analysis of the rate coding capabilities of the models are presented.
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Abstract: In this paper we show cellular neural network (CNN) models of some basic types of cells characterised by diverse spiking patterns. After showing some preliminary models (ion channels, neurons), CNN models of the action potential generation are given followed by an analysis of the rate coding capabilities of the models. Furthermore, CNN models of neurons with diverse intrinsic firing patterns are presented followed by some conclusions. >
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References
A quantitative description of membrane current and its application to conduction and excitation in nerve
A. L. Hodgkin,A. F. Huxley +1 more
TL;DR: This article concludes a series of papers concerned with the flow of electric current through the surface membrane of a giant nerve fibre by putting them into mathematical form and showing that they will account for conduction and excitation in quantitative terms.
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Principles of Neural Science
Eric R. Kandel,James H. Schwartz,Thomas M. Jessell +2 more
- 01 Jun 1981
TL;DR: The principles of neural science as mentioned in this paper have been used in neural networks for the purpose of neural network engineering and neural networks have been applied in the field of neural networks, such as:
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Principles of Neural Science
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Cellular neural networks: applications
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