A Control Approach to a Biophysical Neuron Model
Kaulmann T, Löffler A, Rückert U (2007)
In: Proceedings of the International Conference on Artificial Neural Networks. Sá JPM de (Ed); Lecture notes in computer science, 4668. Berlin, Heidelberg: Springer-Verlag: 529-538.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Kaulmann, Tim;
Löffler, Axel;
Rückert, UlrichUniBi
Herausgeber*in
Sá, Joaquim P. Marques de
Abstract / Bemerkung
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.
Erscheinungsjahr
2007
Titel des Konferenzbandes
Proceedings of the International Conference on Artificial Neural Networks
Serien- oder Zeitschriftentitel
Lecture notes in computer science
Band
4668
Seite(n)
529-538
ISBN
9783540746898
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/2289108
Zitieren
Kaulmann T, Löffler A, Rückert U. A Control Approach to a Biophysical Neuron Model. In: Sá JPM de, ed. Proceedings of the International Conference on Artificial Neural Networks. Lecture notes in computer science. Vol 4668. Berlin, Heidelberg: Springer-Verlag; 2007: 529-538.
Kaulmann, T., Löffler, A., & Rückert, U. (2007). A Control Approach to a Biophysical Neuron Model. In J. P. M. de Sá (Ed.), Lecture notes in computer science: Vol. 4668. Proceedings of the International Conference on Artificial Neural Networks (pp. 529-538). Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-540-74690-4_54
Kaulmann, Tim, Löffler, Axel, and Rückert, Ulrich. 2007. “A Control Approach to a Biophysical Neuron Model”. In Proceedings of the International Conference on Artificial Neural Networks, ed. Joaquim P. Marques de Sá, 4668:529-538. Lecture notes in computer science. Berlin, Heidelberg: Springer-Verlag.
Kaulmann, T., Löffler, A., and Rückert, U. (2007). “A Control Approach to a Biophysical Neuron Model” in Proceedings of the International Conference on Artificial Neural Networks, Sá, J. P. M. de ed. Lecture notes in computer science, vol. 4668, (Berlin, Heidelberg: Springer-Verlag), 529-538.
Kaulmann, T., Löffler, A., & Rückert, U., 2007. A Control Approach to a Biophysical Neuron Model. In J. P. M. de Sá, ed. Proceedings of the International Conference on Artificial Neural Networks. Lecture notes in computer science. no.4668 Berlin, Heidelberg: Springer-Verlag, pp. 529-538.
T. Kaulmann, A. Löffler, and U. Rückert, “A Control Approach to a Biophysical Neuron Model”, Proceedings of the International Conference on Artificial Neural Networks, J.P.M. de Sá, ed., Lecture notes in computer science, vol. 4668, Berlin, Heidelberg: Springer-Verlag, 2007, pp.529-538.
Kaulmann, T., Löffler, A., Rückert, U.: A Control Approach to a Biophysical Neuron Model. In: Sá, J.P.M. de (ed.) Proceedings of the International Conference on Artificial Neural Networks. Lecture notes in computer science. 4668, p. 529-538. Springer-Verlag, Berlin, Heidelberg (2007).
Kaulmann, Tim, Löffler, Axel, and Rückert, Ulrich. “A Control Approach to a Biophysical Neuron Model”. Proceedings of the International Conference on Artificial Neural Networks. Ed. Joaquim P. Marques de Sá. Berlin, Heidelberg: Springer-Verlag, 2007.Vol. 4668. Lecture notes in computer science. 529-538.
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