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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2016-03-01
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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. |
first_indexed | 2024-04-12T06:18:55Z |
format | Article |
id | doaj.art-0d3e323d56bd4303843fd9602c5f9071 |
institution | Directory Open Access Journal |
issn | 1662-5188 |
language | English |
last_indexed | 2024-04-12T06:18:55Z |
publishDate | 2016-03-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Computational Neuroscience |
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 |
work_keys_str_mv | AT nasireahmad harmonictrainingandtheformationofpitchrepresentationinaneuralnetworkmodeloftheauditorybrain AT irinaehiggins harmonictrainingandtheformationofpitchrepresentationinaneuralnetworkmodeloftheauditorybrain AT kerrymariemaywalker harmonictrainingandtheformationofpitchrepresentationinaneuralnetworkmodeloftheauditorybrain AT simonmaitlandstringer harmonictrainingandtheformationofpitchrepresentationinaneuralnetworkmodeloftheauditorybrain |