Literature DB >> 3745663

Spike-rate intensity functions of cat cortical neurons studied with combined tone-noise stimuli.

D P Phillips, S E Hall.   

Abstract

In the auditory cortex of anesthetized cats, single neurons were studied for their sensitivity to tones presented against backgrounds of continuous wide-spectrum noise. Tone pulses and noise stimuli were mixed acoustically and presented using calibrated, sealed stimulating systems. Data collected were spike-rate intensity functions for tones delivered alone and in the presence of noise. In most neurons, noise of any given intensity induced tone sensitivity shifts that were greatest for frequencies to which the neurons were most sensitive. When the sensitivity loss was in excess of about 15 dB, continuous noise usually caused a steepening of the slope of the tone intensity function. These data suggest that the excitatory response area of a cortical neuron is shaped by multiple, incompletely overlapping inputs of varying sensitivities. In the presence of a continuous noise mask, the disparate thresholds of these inputs may be brought into closer register, resulting in a steepened rate intensity function. These observations may be germane to the neural genesis of the "recruitment" seen in the loudness judgments of normal listeners for masked tones.

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Mesh:

Year:  1986        PMID: 3745663     DOI: 10.1121/1.394178

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  17 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.  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

3.  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

4.  Responses of single neurons in cat auditory cortex to time-varying stimuli: linear amplitude modulations.

Authors:  D P Phillips; S E Hall
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

5.  Contribution of spiking activity in the primary auditory cortex to detection in noise.

Authors:  Kate L Christison-Lagay; Sharath Bennur; Yale E Cohen
Journal:  J Neurophysiol       Date:  2017-08-30       Impact factor: 2.714

6.  Adaptation to Noise in Human Speech Recognition Depends on Noise-Level Statistics and Fast Dynamic-Range Compression.

Authors:  Miriam I Marrufo-Pérez; Dora Del Pilar Sturla-Carreto; Almudena Eustaquio-Martín; Enrique A Lopez-Poveda
Journal:  J Neurosci       Date:  2020-07-17       Impact factor: 6.167

7.  Sensitivity of offset and onset cortical auditory evoked potentials to signals in noise.

Authors:  Lucas S Baltzell; Curtis J Billings
Journal:  Clin Neurophysiol       Date:  2013-09-02       Impact factor: 3.708

Review 8.  Intensity-invariant coding in the auditory system.

Authors:  Dennis L Barbour
Journal:  Neurosci Biobehav Rev       Date:  2011-04-16       Impact factor: 8.989

9.  Theoretical limitations on functional imaging resolution in auditory cortex.

Authors:  Thomas L Chen; Paul V Watkins; Dennis L Barbour
Journal:  Brain Res       Date:  2010-01-14       Impact factor: 3.252

10.  Human evoked cortical activity to signal-to-noise ratio and absolute signal level.

Authors:  Curtis J Billings; Kelly L Tremblay; G Christopher Stecker; Wendy M Tolin
Journal:  Hear Res       Date:  2009-04-11       Impact factor: 3.208

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