Literature DB >> 6480513

Representation of voice pitch in discharge patterns of auditory-nerve fibers.

M I Miller, M B Sachs.   

Abstract

Responses of populations of auditory-nerve fibers were measured for synthesized consonant-vowel stimuli. This paper explores the encoding of fundamental frequency (pitch) in these responses. Post-stimulus time (PST) histograms were computed from 25 ms segments of the spike trains. Discrete Fourier transforms with a 40 Hz resolution were computed from the histograms. Two representations of pitch are considered. The first representation is based on the pitch-related temporal properties of the speech signal. Histograms for individual units can show envelope modulations directly related to the pitch period. These modulations reflect the responses of these fibers to a number of stimulus harmonics near fiber CF. Responses of fibers near formant frequencies are dominated by a single large harmonic component, and thus show small or no pitch-related enveloped modulations. Envelope modulations are reduced in the presence of background noise. The second representation uses both temporal properties of auditory-nerve responses and cochlear place to encode the pitch-related harmonic structure of speech. As a measure of the response of the population of fibers to each harmonic of 40 Hz the magnitude of the component of the Fourier transform at that frequency was averaged across all fibers whose characteristic frequencies were within one-fourth octave of that harmonic. We call this measure the average localized synchronized rate (ALSR). The ALSR provides a good representation of stimulus spectrum, even in the presence of background noise. From the harmonic structure of the ALSR, we are able to extract the stimulus pitch frequency. The relationship of these two representations to pitch perception in both acoustic and electrical stimulation (via cochlear implants) is discussed.

Mesh:

Year:  1984        PMID: 6480513     DOI: 10.1016/0378-5955(84)90054-6

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  9 in total

1.  Improved neural representation of vowels in electric stimulation using desynchronizing pulse trains.

Authors:  Leonid Litvak; Bertrand Delgutte; Donald Eddington
Journal:  J Acoust Soc Am       Date:  2003-10       Impact factor: 1.840

2.  Pitch strength of noise-vocoded harmonic tone complexes in normal-hearing listeners.

Authors:  William P Shofner; Jeannine Campbell
Journal:  J Acoust Soc Am       Date:  2012-11       Impact factor: 1.840

3.  Differential encoding of rapid changes in sound amplitude by second-order auditory neurons.

Authors:  R D Frisina; R L Smith; S C Chamberlain
Journal:  Exp Brain Res       Date:  1985       Impact factor: 1.972

4.  Aging Affects Subcortical Pitch Information Encoding Differently in Humans With Different Language Backgrounds.

Authors:  Dongxin Liu; Jiong Hu; Songjian Wang; Xinxing Fu; Yuan Wang; Esther Pugh; Jennifer Henderson Sabes; Shuo Wang
Journal:  Front Aging Neurosci       Date:  2022-04-13       Impact factor: 5.702

5.  Encoding of a spectrally-complex communication sound in the bullfrog's auditory nerve.

Authors:  J J Schwartz; A M Simmons
Journal:  J Comp Physiol A       Date:  1990-02       Impact factor: 1.836

6.  Encoding of phase spectra by the peripheral auditory system of the bullfrog.

Authors:  D A Bodnar; R R Capranica
Journal:  J Comp Physiol A       Date:  1994-02       Impact factor: 1.836

7.  Developmental plasticity in the human auditory brainstem.

Authors:  Krista L Johnson; Trent Nicol; Steven G Zecker; Nina Kraus
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

8.  Reverberation impairs brainstem temporal representations of voiced vowel sounds: challenging "periodicity-tagged" segregation of competing speech in rooms.

Authors:  Mark Sayles; Arkadiusz Stasiak; Ian M Winter
Journal:  Front Syst Neurosci       Date:  2015-01-12

9.  Temporal Coding of Voice Pitch Contours in Mandarin Tones.

Authors:  Fei Peng; Hamish Innes-Brown; Colette M McKay; James B Fallon; Yi Zhou; Xing Wang; Ning Hu; Wensheng Hou
Journal:  Front Neural Circuits       Date:  2018-07-24       Impact factor: 3.492

  9 in total

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