A Control Approach to a Biophysical Neuron Model (original) (raw)

Abstract

In this paper we present a neuron model based on the description of biophysical mechanisms combined with a regulatory mechanism from control theory. The aim of this work is to provide a neuron model that is capable of describing the main features of biological neurons such as maintaining an equilibrium potential using the NaK-ATPase and the generation of action potentials as well as to provide an estimation of the energy consumption of a single cell in a) quiescent mode (or equilibrium state) and b) firing state, when excited by other neurons. The same mechanism has also been used to model the synaptic excitation used in the simulated system.

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Authors and Affiliations

  1. Heinz Nixdorf Institute, Dept. System and Circuit Technology, University of Paderborn, Fuerstenallee 11, 33102 Paderborn, Germany
    Tim Kaulmann & Ulrich Rückert
  2. Robert Bosch GmbH, Robert-Bosch-Strasse 2, 71701 Schwieberdingen, Germany
    Axel Löffler

Authors

  1. Tim Kaulmann
  2. Axel Löffler
  3. Ulrich Rückert

Editor information

Joaquim Marques de Sá Luís A. Alexandre Włodzisław Duch Danilo Mandic

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© 2007 Springer-Verlag Berlin Heidelberg

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Kaulmann, T., Löffler, A., Rückert, U. (2007). A Control Approach to a Biophysical Neuron Model. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D. (eds) Artificial Neural Networks – ICANN 2007. ICANN 2007. Lecture Notes in Computer Science, vol 4668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74690-4\_54

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