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Spiking Models for Level-Invariant Encoding

Levels of ecological sounds vary over several orders of magnitude, but the firing rate and membrane potential of a neuron are much more limited in range. In binaural neurons of the barn owl, tuning to interaural delays is independent of level differences. Yet a monaural neuron with a fixed threshold...

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Detalles Bibliográficos
Autor principal: Brette, Romain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3254166/
https://www.ncbi.nlm.nih.gov/pubmed/22291634
http://dx.doi.org/10.3389/fncom.2011.00063
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author Brette, Romain
author_facet Brette, Romain
author_sort Brette, Romain
collection PubMed
description Levels of ecological sounds vary over several orders of magnitude, but the firing rate and membrane potential of a neuron are much more limited in range. In binaural neurons of the barn owl, tuning to interaural delays is independent of level differences. Yet a monaural neuron with a fixed threshold should fire earlier in response to louder sounds, which would disrupt the tuning of these neurons. How could spike timing be independent of input level? Here I derive theoretical conditions for a spiking model to be insensitive to input level. The key property is a dynamic change in spike threshold. I then show how level invariance can be physiologically implemented, with specific ionic channel properties. It appears that these ingredients are indeed present in monaural neurons of the sound localization pathway of birds and mammals.
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spelling pubmed-32541662012-01-30 Spiking Models for Level-Invariant Encoding Brette, Romain Front Comput Neurosci Neuroscience Levels of ecological sounds vary over several orders of magnitude, but the firing rate and membrane potential of a neuron are much more limited in range. In binaural neurons of the barn owl, tuning to interaural delays is independent of level differences. Yet a monaural neuron with a fixed threshold should fire earlier in response to louder sounds, which would disrupt the tuning of these neurons. How could spike timing be independent of input level? Here I derive theoretical conditions for a spiking model to be insensitive to input level. The key property is a dynamic change in spike threshold. I then show how level invariance can be physiologically implemented, with specific ionic channel properties. It appears that these ingredients are indeed present in monaural neurons of the sound localization pathway of birds and mammals. Frontiers Research Foundation 2012-01-10 /pmc/articles/PMC3254166/ /pubmed/22291634 http://dx.doi.org/10.3389/fncom.2011.00063 Text en Copyright © 2012 Brette. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Neuroscience
Brette, Romain
Spiking Models for Level-Invariant Encoding
title Spiking Models for Level-Invariant Encoding
title_full Spiking Models for Level-Invariant Encoding
title_fullStr Spiking Models for Level-Invariant Encoding
title_full_unstemmed Spiking Models for Level-Invariant Encoding
title_short Spiking Models for Level-Invariant Encoding
title_sort spiking models for level-invariant encoding
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3254166/
https://www.ncbi.nlm.nih.gov/pubmed/22291634
http://dx.doi.org/10.3389/fncom.2011.00063
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