Abstract
Pulse-processing neural networks are expected to perform more delicate and essential signal processing than conventional firing-rate networks. The architecture is based on biological nerve systems much more and, hence, it is very important as a basis to investigate the dynamics of pulse signals in biological neural networks such as interactions of action potential (signal pulses. In this paper, two-dimensional Hodgkin-Huxley equations are proposed for a mesoscopic analysis and synthesis of membrane potential activities such as propagation and interaction. The proposed method will enable us to describe signal pulse dynamics by a universal method.
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© 1997 Springer-Verlag Berlin Heidelberg
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Hirose, A. (1997). Two-dimensional Hodgkin-Huxley equations for investigating a basis of pulse-processing neural networks. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020137
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DOI: https://doi.org/10.1007/BFb0020137
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