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Auditory power-law activation avalanches exhibit a fundamental computational ground state


Stoop, Ruedi; Gomez, Florian (2016). Auditory power-law activation avalanches exhibit a fundamental computational ground state. Physical Review Letters, 117:038102.

Abstract

The cochlea provides a biological information-processing paradigm that we are only beginning to understand in its full complexity. Our work reveals an interacting network of strongly nonlinear dynamical nodes, on which even a simple sound input triggers subnetworks of activated elements that follow power-law size statistics (“avalanches”). From dynamical systems theory, power-law size distributions relate to a fundamental ground state of biological information processing. Learning destroys these power laws. These results strongly modify the models of mammalian sound processing and provide a novel methodological perspective for understanding how the brain processes information.

Abstract

The cochlea provides a biological information-processing paradigm that we are only beginning to understand in its full complexity. Our work reveals an interacting network of strongly nonlinear dynamical nodes, on which even a simple sound input triggers subnetworks of activated elements that follow power-law size statistics (“avalanches”). From dynamical systems theory, power-law size distributions relate to a fundamental ground state of biological information processing. Learning destroys these power laws. These results strongly modify the models of mammalian sound processing and provide a novel methodological perspective for understanding how the brain processes information.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2016
Deposited On:26 Jan 2017 13:12
Last Modified:26 Jan 2017 13:44
Publisher:American Physical Society
Series Name:Physical Review Letters
ISSN:0031-9007
Publisher DOI:https://doi.org/10.1103/PhysRevLett.117.038102
PubMed ID:27472144

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