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Modelling of Complex Signals in Nerves

Modelling of Complex Signals in Nerves
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Field name Details
Dewey Class 570.285
Title Modelling of Complex Signals in Nerves ([EBook] /) / by Jüri Engelbrecht, Kert Tamm, Tanel Peets.
Author Engelbrecht, Jüri
Added Personal Name Tamm, Kert
Peets, Tanel
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2021.
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details XIII, 186 p. 66 illus. : online resource.
ISBN 9783030750398
Summary Note This book describes fundamental physical principles, together with their mathematical formulations, for modelling the propagation of signals in nerve fibres. Above all, it focuses on the complex electro-mechano-thermal process that produces an ensemble of waves composed of several components, besides the action potential. These components include mechanical waves in the biomembrane and axoplasm, together with the temperature change. Pursuing a step-by-step approach, the content moves from physics and mathematics, to describing the physiological effects, and finally to modelling the coupling effects. The assumptions and hypotheses used for modelling, as well as selected helpful concepts from continuum mechanics, are systematically explained, and the modelling is illustrated using the outcomes of numerical simulation. The book is chiefly intended for researchers and graduate students, providing them with a detailed description of how to model the complex physiological processes in nerve fibres.:
Contents note Introduction -- Part I Complexity and Waves -- Part II Dynamical Processes in Nerve Axons -- Part III Modelling of Dynamical Physiological Processes -- Appendix: The Numerical Scheme -- Index. .
Mode of acces to digital resource Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-030-75039-8
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