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Excitable Membranes and Neural Conduction

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Book cover Computational Neuroscience

Part of the book series: Springer Series in Bio-/Neuroinformatics ((SSBN,volume 2))

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Abstract

Neural information processing is based on three cellular mechanisms, i.e., the excitability of neural membranes, the spatio-temporal integration of activities on dendritic trees, and synaptic transmission. The basic element of neural activity is the action potential, which is a binary event, being either present or absent, much as the electrical signals in digital circuit technology. In this chapter, we discuss the formation of the action potential as a result of the dynamics of electrical and chemical processes in the neural membrane. In order to infer the closed loop dynamics from the individual processes of voltage sensitive channels and the resulting resistive and capacitive currents, a mathematical theory is needed, known as the Hodgkin-Huxley theory. The propagation of neural signals along axons and dendrites is based on the cable equation which is also discussed in this chapter. Mathematical background is mostly from the theory of dynamical systems.

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Correspondence to Hanspeter A Mallot .

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© 2013 Springer International Publishing Switzerland

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Mallot, H.A. (2013). Excitable Membranes and Neural Conduction. In: Computational Neuroscience. Springer Series in Bio-/Neuroinformatics, vol 2. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00861-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-00861-5_1

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00860-8

  • Online ISBN: 978-3-319-00861-5

  • eBook Packages: EngineeringEngineering (R0)

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