Understanding pitch perception as a hierarchical process with top-down modulation

Authors: Balaguer-Ballester, S.L.

http://eprints.bournemouth.ac.uk/29619/

Publisher: Springer, NY

This source preferred by Emili Balaguer-Ballester

This data was imported from PubMed:

Authors: Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K. and Denham, S.L.

http://eprints.bournemouth.ac.uk/29619/

Journal: PLoS Comput Biol

Volume: 5

Issue: 3

Pages: e1000301

eISSN: 1553-7358

DOI: 10.1371/journal.pcbi.1000301

Pitch is one of the most important features of natural sounds, underlying the perception of melody in music and prosody in speech. However, the temporal dynamics of pitch processing are still poorly understood. Previous studies suggest that the auditory system uses a wide range of time scales to integrate pitch-related information and that the effective integration time is both task- and stimulus-dependent. None of the existing models of pitch processing can account for such task- and stimulus-dependent variations in processing time scales. This study presents an idealized neurocomputational model, which provides a unified account of the multiple time scales observed in pitch perception. The model is evaluated using a range of perceptual studies, which have not previously been accounted for by a single model, and new results from a neurophysiological experiment. In contrast to other approaches, the current model contains a hierarchy of integration stages and uses feedback to adapt the effective time scales of processing at each stage in response to changes in the input stimulus. The model has features in common with a hierarchical generative process and suggests a key role for efferent connections from central to sub-cortical areas in controlling the temporal dynamics of pitch processing.

This data was imported from DBLP:

Authors: Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K. and Denham, S.L.

http://eprints.bournemouth.ac.uk/29619/

Journal: PLoS Computational Biology

Volume: 5

This data was imported from Scopus:

Authors: Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K. and Denham, S.L.

http://eprints.bournemouth.ac.uk/29619/

Journal: PLoS Computational Biology

Volume: 5

Issue: 3

eISSN: 1553-7358

ISSN: 1553-734X

DOI: 10.1371/journal.pcbi.1000301

Pitch is one of the most important features of natural sounds, underlying the perception of melody in music and prosody in speech. However, the temporal dynamics of pitch processing are still poorly understood. Previous studies suggest that the auditory system uses a wide range of time scales to integrate pitch-related information and that the effective integration time is both task- and stimulus-dependent. None of the existing models of pitch processing can account for such task- and stimulus-dependent variations in processing time scales. This study presents an idealized neurocomputational model, which provides a unified account of the multiple time scales observed in pitch perception. The model is evaluated using a range of perceptual studies, which have not previously been accounted for by a single model, and new results from a neurophysiological experiment. In contrast to other approaches, the current model contains a hierarchy of integration stages and uses feedback to adapt the effective time scales of processing at each stage in response to changes in the input stimulus. The model has features in common with a hierarchical generative process and suggests a key role for efferent connections from central to sub-cortical areas in controlling the temporal dynamics of pitch processing.

This data was imported from Web of Science (Lite):

Authors: Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K. and Denham, S.L.

http://eprints.bournemouth.ac.uk/29619/

Journal: PLOS COMPUTATIONAL BIOLOGY

Volume: 5

Issue: 3

eISSN: 1553-7358

DOI: 10.1371/journal.pcbi.1000301

This data was imported from Europe PubMed Central:

Authors: Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K. and Denham, S.L.

http://eprints.bournemouth.ac.uk/29619/

Journal: PLoS computational biology

Volume: 5

Issue: 3

Pages: e1000301

eISSN: 1553-7358

ISSN: 1553-734X

Pitch is one of the most important features of natural sounds, underlying the perception of melody in music and prosody in speech. However, the temporal dynamics of pitch processing are still poorly understood. Previous studies suggest that the auditory system uses a wide range of time scales to integrate pitch-related information and that the effective integration time is both task- and stimulus-dependent. None of the existing models of pitch processing can account for such task- and stimulus-dependent variations in processing time scales. This study presents an idealized neurocomputational model, which provides a unified account of the multiple time scales observed in pitch perception. The model is evaluated using a range of perceptual studies, which have not previously been accounted for by a single model, and new results from a neurophysiological experiment. In contrast to other approaches, the current model contains a hierarchy of integration stages and uses feedback to adapt the effective time scales of processing at each stage in response to changes in the input stimulus. The model has features in common with a hierarchical generative process and suggests a key role for efferent connections from central to sub-cortical areas in controlling the temporal dynamics of pitch processing.

The data on this page was last updated at 05:10 on February 17, 2020.