Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain

Attempting to explain the perceptual qualities of pitch has proven to be, and remains, a difficult problem. The wide range of sounds which illicit pitch and a lack of agreement across neurophysiological studies on how pitch is encoded by the brain have made this attempt more difficult. In describing...

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Main Authors: Nasir eAhmad, Irina eHiggins, Kerry Marie May Walker, Simon Maitland Stringer
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-03-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00024/full
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author Nasir eAhmad
Irina eHiggins
Kerry Marie May Walker
Simon Maitland Stringer
author_facet Nasir eAhmad
Irina eHiggins
Kerry Marie May Walker
Simon Maitland Stringer
author_sort Nasir eAhmad
collection DOAJ
description Attempting to explain the perceptual qualities of pitch has proven to be, and remains, a difficult problem. The wide range of sounds which illicit pitch and a lack of agreement across neurophysiological studies on how pitch is encoded by the brain have made this attempt more difficult. In describing the potential neural mechanisms by which pitch may be processed, a number of neural networks have been proposed and implemented. However, no unsupervised neural networks with biologically accurate cochlear inputs have yet been demonstrated. This paper proposes a simplified system in which pitch representing neurons are easily produced under a highly biological setting. Purely unsupervised regimes of neural network learning are implemented and these prove to be sufficient in identifying the pitch of sounds with a variety of spectral profiles, including missing fundamental sounds.
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spelling doaj.art-0d3e323d56bd4303843fd9602c5f90712022-12-22T03:44:22ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882016-03-011010.3389/fncom.2016.00024185549Harmonic Training and the formation of pitch representation in a neural network model of the auditory brainNasir eAhmad0Irina eHiggins1Kerry Marie May Walker2Simon Maitland Stringer3University of OxfordUniversity of OxfordUniversity of OxfordUniversity of OxfordAttempting to explain the perceptual qualities of pitch has proven to be, and remains, a difficult problem. The wide range of sounds which illicit pitch and a lack of agreement across neurophysiological studies on how pitch is encoded by the brain have made this attempt more difficult. In describing the potential neural mechanisms by which pitch may be processed, a number of neural networks have been proposed and implemented. However, no unsupervised neural networks with biologically accurate cochlear inputs have yet been demonstrated. This paper proposes a simplified system in which pitch representing neurons are easily produced under a highly biological setting. Purely unsupervised regimes of neural network learning are implemented and these prove to be sufficient in identifying the pitch of sounds with a variety of spectral profiles, including missing fundamental sounds.http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00024/fullunsupervised learningpitch identificationCompetitive neural networkauditory brainHarmonic Training
spellingShingle Nasir eAhmad
Irina eHiggins
Kerry Marie May Walker
Simon Maitland Stringer
Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain
Frontiers in Computational Neuroscience
unsupervised learning
pitch identification
Competitive neural network
auditory brain
Harmonic Training
title Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain
title_full Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain
title_fullStr Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain
title_full_unstemmed Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain
title_short Harmonic Training and the formation of pitch representation in a neural network model of the auditory brain
title_sort harmonic training and the formation of pitch representation in a neural network model of the auditory brain
topic unsupervised learning
pitch identification
Competitive neural network
auditory brain
Harmonic Training
url http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00024/full
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AT simonmaitlandstringer harmonictrainingandtheformationofpitchrepresentationinaneuralnetworkmodeloftheauditorybrain