- Abstract:
-
Attempting to explain the perceptual qualities of pitch has proven to be, and remains, a difficult problem. The wide range of sounds which elicit 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 ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 3.3mb)
-
- Publisher copy:
- 10.3389/fncom.2016.00024
-
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- Publisher:
- Frontiers Media S.A. Publisher's website
- Journal:
- Frontiers in computational neuroscience Journal website
- Volume:
- 10
- Issue:
- MAR
- Pages:
- 24
- Publication date:
- 2016-03-23
- Acceptance date:
- 2016-03-07
- DOI:
- EISSN:
-
1662-5188
- ISSN:
-
1662-5188
- URN:
-
uuid:0379388f-87e4-4afc-9b5d-72d172070fd1
- Source identifiers:
-
614010
- Local pid:
- pubs:614010
- Paper number:
- MAR
- Language:
- English
- Keywords:
- Copyright holder:
- Nasir Ahmad et al.
- Copyright date:
- 2016
- Notes:
- This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY: http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor 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.
Journal article
Harmonic training and the formation of pitch representation in a neural network model of the auditory brain
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