Literature DB >> 9753160

Spectral envelope coding in cat primary auditory cortex: linear and non-linear effects of stimulus characteristics.

B M Calhoun1, C E Schreiner.   

Abstract

Electrophysiological studies in mammal primary auditory cortex have demonstrated neuronal tuning and cortical spatial organization based upon spectral and temporal qualities of the stimulus including: its frequency, intensity, amplitude modulation and frequency modulation. Although communication and other behaviourally relevant sounds are usually complex, most response characterizations have used tonal stimuli. To better understand the mechanisms necessary to process complex sounds, we investigated neuronal responses to a specific class of broadband stimuli, auditory gratings or ripple stimuli, and compared the responses with single tone responses. Ripple stimuli consisted of 150-200 frequency components with the intensity of each component adjusted such that the envelope of the frequency spectrum is sinusoidal. It has been demonstrated that neurons are tuned to specific characteristics of those ripple stimulus including the intensity, the spacing of the peaks, and the location of the peaks and valleys (C. E. Schreiner and B. M. Calhoun, Auditory Neurosci., 1994; 1: 39-61). Although previous results showed that neuronal response strength varied with the intensity and the fundamental frequency of the stimulus, it is shown here that the relative response to different ripple spacings remains essentially constant with changes in the intensity and the fundamental frequency. These findings support a close relationship between pure-tone receptive fields and ripple transfer functions. However, variations of other stimulus characteristics, such as spectral modulation depth, result in non-linear alterations in the ripple transformation. The processing between the basilar membrane and the primary auditory cortex of broadband stimuli appears generally to be non-linear, although specific stimulus qualities, including the phase of the spectral envelope, are processed in a nearly linear manner.

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Year:  1998        PMID: 9753160     DOI: 10.1046/j.1460-9568.1998.00102.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  16 in total

1.  Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds.

Authors:  F E Theunissen; K Sen; A J Doupe
Journal:  J Neurosci       Date:  2000-03-15       Impact factor: 6.167

2.  Naturalistic auditory contrast improves spectrotemporal coding in the cat inferior colliculus.

Authors:  Monty A Escabí; Lee M Miller; Heather L Read; Christoph E Schreiner
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

3.  Understanding the neurophysiological basis of auditory abilities for social communication: a perspective on the value of ethological paradigms.

Authors:  Sharath Bennur; Joji Tsunada; Yale E Cohen; Robert C Liu
Journal:  Hear Res       Date:  2013-08-27       Impact factor: 3.208

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

Review 5.  Auditory cortex mapmaking: principles, projections, and plasticity.

Authors:  Christoph E Schreiner; Jeffery A Winer
Journal:  Neuron       Date:  2007-10-25       Impact factor: 17.173

6.  Spectral integration plasticity in cat auditory cortex induced by perceptual training.

Authors:  M Diane Keeling; Barbara M Calhoun; Katharina Krüger; Daniel B Polley; Christoph E Schreiner
Journal:  Exp Brain Res       Date:  2007-09-21       Impact factor: 1.972

7.  Spectral and temporal processing in rat posterior auditory cortex.

Authors:  Pritesh K Pandya; Daniel L Rathbun; Raluca Moucha; Navzer D Engineer; Michael P Kilgard
Journal:  Cereb Cortex       Date:  2007-07-05       Impact factor: 5.357

8.  Spectrotemporal processing differences between auditory cortical fast-spiking and regular-spiking neurons.

Authors:  Craig A Atencio; Christoph E Schreiner
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

Review 9.  Perception and coding of envelopes in weakly electric fishes.

Authors:  Sarah A Stamper; Eric S Fortune; Maurice J Chacron
Journal:  J Exp Biol       Date:  2013-07-01       Impact factor: 3.312

10.  Multidimensional receptive field processing by cat primary auditory cortical neurons.

Authors:  Craig A Atencio; Tatyana O Sharpee
Journal:  Neuroscience       Date:  2017-07-08       Impact factor: 3.590

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