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Electronic Neuron Models as an Aid to Neurophysiological Research

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Ergebnisse der Biologie

Part of the book series: Ergebnisse der Biologie Advances in Biology ((ERGBIOL,volume 25))

Abstract

As is well known the time courses of many physiological and electrical phenomena are quite similar. Therefore electrical and electrochemical models can be used to simulate physiological processes [Bethe; Bonhoeffer; Burns; Druckrey and Küpfmüller; Eccles (1); Freygang; Hermann; Hodgkin and Huxley; Küpfmüller (1); Lillie; Tasaki].1 In modern automation and computer technology refined apparatus becomes necessary which is able to perform such complex functions as learning and pattern recognition, which seemed hitherto to have been restricted to organisms with highly developed nervous systems (Steinbuch; Wiener). The design of such apparatus being rather difficult, communication and electronic engineers are interested in how nature has solved the problems of information processing in the nervous system. The investigation of nervous systems is one of the tasks of biologists, and engineers hope that their questions can be answered by the biologists. However two difficulties arise: firstly, many biologists are not interested in engineering problems, and secondly, biologists and engineers do not approach problems from the same angle.

Dedicated to Professor Dr.-Ing. E. h. K. Küpfmüller on the occasion of his 65th birthday.

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Authors and Affiliations

  1. Institut für allgemeine Nachrichtentechnik, Technischen Hochschule Darmstadt, Deutschland

    F. Jenik

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  1. F. Jenik
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H. Autrum E. Bünning K. v. Frisch E. Hadorn A. Kühn E. Mayr A. Pirson J. Straub H. Stubbe W. Weidel Hansjochem Autrum

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© 1962 Springer-Verlag OHG. Berlin · Göttingen · Heidelberg

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Jenik, F. (1962). Electronic Neuron Models as an Aid to Neurophysiological Research. In: Autrum, H., et al. Ergebnisse der Biologie. Ergebnisse der Biologie Advances in Biology, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-94837-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-94837-4_7

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