Literature DB >> 11549751

Temporal integration of sound pressure determines thresholds of auditory-nerve fibers.

P Heil1, H Neubauer.   

Abstract

Current propositions of the quantity of sound driving the central auditory system, specifically around threshold, are diverse and at variance with one another. They include sound pressure, sound power, or intensity, which are proportional to the square of pressure, and energy, i.e., the integral of sound power over time. Here we show that the relevant sound quantity and the nature of the threshold can be obtained from the timing of the first spike of auditory-nerve (AN) fibers after the onset of a stimulus. We reason that the first spike is triggered when the stimulus reaches threshold and occurs with fixed delay thereafter. By probing cat AN fibers with characteristic frequency tones of different sound pressure levels and rise times, we show that the differences in relative timing of the first spike (including latencies >100 msec of fibers with low spontaneous rates) can be well accounted for by essentially linear integration of pressure over time. The inclusion of a constant pressure loss or gain to the integrator improves the fit of the model and also accounts for most of the variation of spontaneous rates across fibers. In addition, there are tight correlations among delay, threshold, and spontaneous rate. First-spike timing cannot be explained by models based on a fixed pressure threshold, a fixed power or intensity threshold, or an energy threshold. This suggests that AN fiber thresholds are best measured in units of pressure by time. Possible mechanisms of pressure integration by the inner hair cell-AN fiber complex are discussed.

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Mesh:

Year:  2001        PMID: 11549751      PMCID: PMC6762975     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  39 in total

1.  The dynamic range of inner hair cell and organ of Corti responses.

Authors:  M A Cheatham; P Dallos
Journal:  J Acoust Soc Am       Date:  2000-03       Impact factor: 1.840

2.  Coding of sound pressure level in the barn owl's auditory nerve.

Authors:  C Köppl; G Yates
Journal:  J Neurosci       Date:  1999-11-01       Impact factor: 6.167

3.  First-spike timing of auditory-nerve fibers and comparison with auditory cortex.

Authors:  P Heil; D R Irvine
Journal:  J Neurophysiol       Date:  1997-11       Impact factor: 2.714

4.  Synchronized responses of primary auditory fibre-populations in Caiman crocodilus (L.) to single tones and clicks.

Authors:  J W Smolders; R Klinke
Journal:  Hear Res       Date:  1986       Impact factor: 3.208

5.  A population study of cochlear nerve fibers: comparison of spatial distributions of average-rate and phase-locking measures of responses to single tones.

Authors:  D O Kim; C E Molnar
Journal:  J Neurophysiol       Date:  1979-01       Impact factor: 2.714

6.  Thresholds for primary auditory fibers using statistically defined criteria.

Authors:  C D Geisler; L Deng; S R Greenberg
Journal:  J Acoust Soc Am       Date:  1985-03       Impact factor: 1.840

7.  A comparison between basilar membrane and inner hair cell receptor potential input-output functions in the guinea pig cochlea.

Authors:  R Patuzzi; P M Sellick
Journal:  J Acoust Soc Am       Date:  1983-12       Impact factor: 1.840

8.  Morphometry of intracellularly labeled neurons of the auditory nerve: correlations with functional properties.

Authors:  M C Liberman; M E Oliver
Journal:  J Comp Neurol       Date:  1984-02-20       Impact factor: 3.215

9.  Single-fibre and whole-nerve responses to clicks as a function of sound intensity in the guinea pig.

Authors:  H Versnel; R Schoonhoven; V F Prijs
Journal:  Hear Res       Date:  1992-05       Impact factor: 3.208

10.  Diversity of characteristic frequency rate-intensity functions in guinea pig auditory nerve fibres.

Authors:  I M Winter; D Robertson; G K Yates
Journal:  Hear Res       Date:  1990-05       Impact factor: 3.208

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  22 in total

1.  Computational diversity in the cochlear nucleus angularis of the barn owl.

Authors:  Christine Köppl; Catherine E Carr
Journal:  J Neurophysiol       Date:  2002-12-27       Impact factor: 2.714

2.  A unifying basis of auditory thresholds based on temporal summation.

Authors:  Peter Heil; Heinrich Neubauer
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-30       Impact factor: 11.205

3.  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

4.  A unified mechanism for spontaneous-rate and first-spike timing in the auditory nerve.

Authors:  B Suresh Krishna
Journal:  J Comput Neurosci       Date:  2002 Sep-Oct       Impact factor: 1.621

5.  Ongoing temporal coding of a stochastic stimulus as a function of intensity: time-intensity trading.

Authors:  Pascal Michelet; Damir Kovacić; Philip X Joris
Journal:  J Neurosci       Date:  2012-07-11       Impact factor: 6.167

6.  Towards a unifying basis of auditory thresholds: the effects of hearing loss on temporal integration reconsidered.

Authors:  Heinrich Neubauer; Peter Heil
Journal:  J Assoc Res Otolaryngol       Date:  2004-12

7.  Comparison of absolute thresholds derived from an adaptive forced-choice procedure and from reaction probabilities and reaction times in a simple reaction time paradigm.

Authors:  Peter Heil; Heinrich Neubauer; Andreas Tiefenau; Hellmut von Specht
Journal:  J Assoc Res Otolaryngol       Date:  2006-07-06

8.  Spontaneous activity of auditory-nerve fibers: insights into stochastic processes at ribbon synapses.

Authors:  Peter Heil; Heinrich Neubauer; Dexter R F Irvine; Mel Brown
Journal:  J Neurosci       Date:  2007-08-01       Impact factor: 6.167

9.  Threshold and beyond: modeling the intensity dependence of auditory responses.

Authors:  Bernd Lütkenhöner
Journal:  J Assoc Res Otolaryngol       Date:  2007-11-14

10.  Two-dimensional adaptation in the auditory forebrain.

Authors:  Tatyana O Sharpee; Katherine I Nagel; Allison J Doupe
Journal:  J Neurophysiol       Date:  2011-07-13       Impact factor: 2.714

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