A model of perceptual segregation based on clustering the time series of the simulated auditory nerve firing probability

Authors: Balaguer-Ballester, E., Coath, M. and Denham, S.L.

Journal: Biological cybernetics

Volume: 97

Pages: 479-491

Publisher: Springer

This source preferred by Emili Balaguer-Ballester

This data was imported from PubMed:

Authors: Balaguer-Ballester, E., Coath, M. and Denham, S.L.

Journal: Biol Cybern

Volume: 97

Issue: 5-6

Pages: 479-491

ISSN: 0340-1200

DOI: 10.1007/s00422-007-0187-8

This paper introduces a model that accounts quantitatively for a phenomenon of perceptual segregation, the simultaneous perception of more than one pitch in a single complex sound. The method is based on a characterization of the time-varying spike probability generated by a model of cochlear responses to sounds. It demonstrates how the autocorrelation theories of pitch perception contain the necessary elements to define a specific measure in the phase space of the simulated auditory nerve probability of firing time series. This measure was motivated in the first instance by the correlation dimension of the attractor; however, it has been modified in several ways in order to increase the neurobiological plausibility. This quantity characterizes each of the cochlear frequency channels and gives rise to a channel clustering criterion. The model computes the clusters and the pitch estimates simultaneously using the same processing mechanisms of delay lines; therefore, it respects the biological constraints in a similar way to temporal theories of pitch. The model successfully explains a wide range of perceptual experiments.

This data was imported from Scopus:

Authors: Balaguer-Ballester, E., Coath, M. and Denham, S.L.

Journal: Biological Cybernetics

Volume: 97

Issue: 5-6

Pages: 479-491

eISSN: 1432-0770

ISSN: 0340-1200

DOI: 10.1007/s00422-007-0187-8

This paper introduces a model that accounts quantitatively for a phenomenon of perceptual segregation, the simultaneous perception of more than one pitch in a single complex sound. The method is based on a characterization of the time-varying spike probability generated by a model of cochlear responses to sounds. It demonstrates how the autocorrelation theories of pitch perception contain the necessary elements to define a specific measure in the phase space of the simulated auditory nerve probability of firing time series. This measure was motivated in the first instance by the correlation dimension of the attractor; however, it has been modified in several ways in order to increase the neurobiological plausibility. This quantity characterizes each of the cochlear frequency channels and gives rise to a channel clustering criterion. The model computes the clusters and the pitch estimates simultaneously using the same processing mechanisms of delay lines; therefore, it respects the biological constraints in a similar way to temporal theories of pitch. The model successfully explains a wide range of perceptual experiments. © 2007 Springer-Verlag.

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

Authors: Balaguer-Ballester, E., Coath, M. and Denham, S.L.

Journal: BIOLOGICAL CYBERNETICS

Volume: 97

Issue: 5-6

Pages: 479-491

ISSN: 0340-1200

DOI: 10.1007/s00422-007-0187-8

This data was imported from Europe PubMed Central:

Authors: Balaguer-Ballester, E., Coath, M. and Denham, S.L.

Journal: Biological cybernetics

Volume: 97

Issue: 5-6

Pages: 479-491

eISSN: 1432-0770

ISSN: 0340-1200

This paper introduces a model that accounts quantitatively for a phenomenon of perceptual segregation, the simultaneous perception of more than one pitch in a single complex sound. The method is based on a characterization of the time-varying spike probability generated by a model of cochlear responses to sounds. It demonstrates how the autocorrelation theories of pitch perception contain the necessary elements to define a specific measure in the phase space of the simulated auditory nerve probability of firing time series. This measure was motivated in the first instance by the correlation dimension of the attractor; however, it has been modified in several ways in order to increase the neurobiological plausibility. This quantity characterizes each of the cochlear frequency channels and gives rise to a channel clustering criterion. The model computes the clusters and the pitch estimates simultaneously using the same processing mechanisms of delay lines; therefore, it respects the biological constraints in a similar way to temporal theories of pitch. The model successfully explains a wide range of perceptual experiments.

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