Literature DB >> 2340096

Neural representation of sound amplitude in the auditory cortex: effects of noise masking.

D P Phillips1.   

Abstract

Single auditory cortical neurons express their sensitivity to the amplitude of a preferred-frequency tone pulse as either a monotonic, saturating intensity profile or as a non-monotonic, bell-shaped intensity function. In the presence of continuous, wideband noise masking, the tone intensity profile is displaced toward higher tone levels. The magnitude of the tone threshold adjustments brought about by increments in noise level very closely match the elevations in noise amplitude. The mechanisms underlying the threshold adjustments likely include neural adaptation. This is because the tone threshold shifts seen in the spike count data are paralleled by spike latency data, and because recovery of tonal sensitivity following noise offset proceeds in a negatively-accelerating fashion. In some instances, the slope of the masked tone intensity profile is greater than that for unmasked tones. For masked tone levels evoking submaximal responses, this has the consequence that cortical responses to masked tones are somewhat more salient than those for unmasked tones of comparable suprathreshold level. These observations bolster our understanding of the psychophysics of noise-masking in normal listeners, and they provide a partial explanation of the difficulty shown by patients with temporal lobe lesions in discriminating signals in noise.

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Year:  1990        PMID: 2340096     DOI: 10.1016/0166-4328(90)90132-x

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  18 in total

1.  Functional topography of cat primary auditory cortex: representation of tone intensity.

Authors:  C E Schreiner; J R Mendelson; M L Sutter
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

2.  Level-tuned neurons in primary auditory cortex adapt differently to loud versus soft sounds.

Authors:  Paul V Watkins; Dennis L Barbour
Journal:  Cereb Cortex       Date:  2010-05-10       Impact factor: 5.357

3.  Cortical encoding of signals in noise: effects of stimulus type and recording paradigm.

Authors:  Curtis J Billings; Keri O Bennett; Michelle R Molis; Marjorie R Leek
Journal:  Ear Hear       Date:  2011-02       Impact factor: 3.570

4.  Sound representation methods for spectro-temporal receptive field estimation.

Authors:  Patrick Gill; Junli Zhang; Sarah M N Woolley; Thane Fremouw; Frédéric E Theunissen
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

5.  Predicting perception in noise using cortical auditory evoked potentials.

Authors:  Curtis J Billings; Garnett P McMillan; Tina M Penman; Sun Mi Gille
Journal:  J Assoc Res Otolaryngol       Date:  2013-09-13

6.  Background noise exerts diverse effects on the cortical encoding of foreground sounds.

Authors:  B J Malone; Marc A Heiser; Ralph E Beitel; Christoph E Schreiner
Journal:  J Neurophysiol       Date:  2017-05-10       Impact factor: 2.714

7.  Level-dependent representation of stimulus frequency in cat primary auditory cortex.

Authors:  D P Phillips; M N Semple; M B Calford; L M Kitzes
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

8.  Rate-level responses in awake marmoset auditory cortex.

Authors:  Paul V Watkins; Dennis L Barbour
Journal:  Hear Res       Date:  2010-12-09       Impact factor: 3.208

9.  Linking the response properties of cells in auditory cortex with network architecture: cotuning versus lateral inhibition.

Authors:  Jaime de la Rocha; Cristina Marchetti; Max Schiff; Alex D Reyes
Journal:  J Neurosci       Date:  2008-09-10       Impact factor: 6.167

10.  N100 cortical potentials accompanying disrupted auditory nerve activity in auditory neuropathy (AN): effects of signal intensity and continuous noise.

Authors:  Henry J Michalewski; Arnold Starr; Fan-Gang Zeng; Andrew Dimitrijevic
Journal:  Clin Neurophysiol       Date:  2009-06-16       Impact factor: 3.708

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