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Signal processing in the cochlea: The structure equations

BACKGROUND: Physical and physiological invariance laws, in particular time invariance and local symmetry, are at the outset of an abstract model. Harmonic analysis and Lie theory are the mathematical prerequisites for its deduction. RESULTS: The main result is a linear system of partial differential...

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Autor principal: Reimann, Hans Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280891/
https://www.ncbi.nlm.nih.gov/pubmed/22656650
http://dx.doi.org/10.1186/2190-8567-1-5
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author Reimann, Hans Martin
author_facet Reimann, Hans Martin
author_sort Reimann, Hans Martin
collection PubMed
description BACKGROUND: Physical and physiological invariance laws, in particular time invariance and local symmetry, are at the outset of an abstract model. Harmonic analysis and Lie theory are the mathematical prerequisites for its deduction. RESULTS: The main result is a linear system of partial differential equations (referred to as the structure equations) that describe the result of signal processing in the cochlea. It is formulated for phase and for the logarithm of the amplitude. The changes of these quantities are the essential physiological observables in the description of signal processing in the auditory pathway. CONCLUSIONS: The structure equations display in a quantitative way the subtle balance for processing information on the basis of phase versus amplitude. From a mathematical point of view, the linear system of equations is classified as an inhomogeneous [Image: see text] - equation. In suitable variables the solutions can be represented as the superposition of a particular solution (determined by the system) and a holomorphic function (determined by the incoming signal). In this way, a global picture of signal processing in the cochlea emerges.
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spelling pubmed-32808912012-02-21 Signal processing in the cochlea: The structure equations Reimann, Hans Martin J Math Neurosci Research BACKGROUND: Physical and physiological invariance laws, in particular time invariance and local symmetry, are at the outset of an abstract model. Harmonic analysis and Lie theory are the mathematical prerequisites for its deduction. RESULTS: The main result is a linear system of partial differential equations (referred to as the structure equations) that describe the result of signal processing in the cochlea. It is formulated for phase and for the logarithm of the amplitude. The changes of these quantities are the essential physiological observables in the description of signal processing in the auditory pathway. CONCLUSIONS: The structure equations display in a quantitative way the subtle balance for processing information on the basis of phase versus amplitude. From a mathematical point of view, the linear system of equations is classified as an inhomogeneous [Image: see text] - equation. In suitable variables the solutions can be represented as the superposition of a particular solution (determined by the system) and a holomorphic function (determined by the incoming signal). In this way, a global picture of signal processing in the cochlea emerges. Springer 2011-06-06 /pmc/articles/PMC3280891/ /pubmed/22656650 http://dx.doi.org/10.1186/2190-8567-1-5 Text en Copyright © 2011 Reimann; licensee Springer. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Research
Reimann, Hans Martin
Signal processing in the cochlea: The structure equations
title Signal processing in the cochlea: The structure equations
title_full Signal processing in the cochlea: The structure equations
title_fullStr Signal processing in the cochlea: The structure equations
title_full_unstemmed Signal processing in the cochlea: The structure equations
title_short Signal processing in the cochlea: The structure equations
title_sort signal processing in the cochlea: the structure equations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280891/
https://www.ncbi.nlm.nih.gov/pubmed/22656650
http://dx.doi.org/10.1186/2190-8567-1-5
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