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Periodicity Pitch Perception

This study presents a computational model to reproduce the biological dynamics of “listening to music.” A biologically plausible model of periodicity pitch detection is proposed and simulated. Periodicity pitch is computed across a range of the auditory spectrum. Periodicity pitch is detected from s...

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Detalles Bibliográficos
Autores principales: Klefenz, Frank, Harczos, Tamas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287128/
https://www.ncbi.nlm.nih.gov/pubmed/32581672
http://dx.doi.org/10.3389/fnins.2020.00486
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author Klefenz, Frank
Harczos, Tamas
author_facet Klefenz, Frank
Harczos, Tamas
author_sort Klefenz, Frank
collection PubMed
description This study presents a computational model to reproduce the biological dynamics of “listening to music.” A biologically plausible model of periodicity pitch detection is proposed and simulated. Periodicity pitch is computed across a range of the auditory spectrum. Periodicity pitch is detected from subsets of activated auditory nerve fibers (ANFs). These activate connected model octopus cells, which trigger model neurons detecting onsets and offsets; thence model interval-tuned neurons are innervated at the right interval times; and finally, a set of common interval-detecting neurons indicate pitch. Octopus cells rhythmically spike with the pitch periodicity of the sound. Batteries of interval-tuned neurons stopwatch-like measure the inter-spike intervals of the octopus cells by coding interval durations as first spike latencies (FSLs). The FSL-triggered spikes synchronously coincide through a monolayer spiking neural network at the corresponding receiver pitch neurons.
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spelling pubmed-72871282020-06-23 Periodicity Pitch Perception Klefenz, Frank Harczos, Tamas Front Neurosci Neuroscience This study presents a computational model to reproduce the biological dynamics of “listening to music.” A biologically plausible model of periodicity pitch detection is proposed and simulated. Periodicity pitch is computed across a range of the auditory spectrum. Periodicity pitch is detected from subsets of activated auditory nerve fibers (ANFs). These activate connected model octopus cells, which trigger model neurons detecting onsets and offsets; thence model interval-tuned neurons are innervated at the right interval times; and finally, a set of common interval-detecting neurons indicate pitch. Octopus cells rhythmically spike with the pitch periodicity of the sound. Batteries of interval-tuned neurons stopwatch-like measure the inter-spike intervals of the octopus cells by coding interval durations as first spike latencies (FSLs). The FSL-triggered spikes synchronously coincide through a monolayer spiking neural network at the corresponding receiver pitch neurons. Frontiers Media S.A. 2020-06-04 /pmc/articles/PMC7287128/ /pubmed/32581672 http://dx.doi.org/10.3389/fnins.2020.00486 Text en Copyright © 2020 Klefenz and Harczos. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Klefenz, Frank
Harczos, Tamas
Periodicity Pitch Perception
title Periodicity Pitch Perception
title_full Periodicity Pitch Perception
title_fullStr Periodicity Pitch Perception
title_full_unstemmed Periodicity Pitch Perception
title_short Periodicity Pitch Perception
title_sort periodicity pitch perception
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287128/
https://www.ncbi.nlm.nih.gov/pubmed/32581672
http://dx.doi.org/10.3389/fnins.2020.00486
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