Literature DB >> 8132905

Wiener kernel analysis of inner ear function in the American bullfrog.

P van Dijk1, H P Wit, J M Segenhout, A Tubis.   

Abstract

The response of 17 primary auditory nerve fibers in the American bullfrog (Rana catesbeiana) to acoustic noise stimulation of the tympanic membrane was recorded. For each fiber, the first- and second-order Wiener kernels, k1 (tau 1) and k2 (tau 1, tau 2), were computed by cross correlation of the stimulus and the response. The kernels revealed amplitude and phase characteristics of auditory filters of both phase-locking and non-phase-locking fibers. Wiener kernels of high- and midfrequency fibers (best frequency, BF > 500 Hz), implied a simple sandwich model, consisting of a cascade of a linear bandpass filter, a static nonlinearity, a linear low-pass filter, and a spike generator. The bandpass filter was at least of order 7, and had a linear phase response, for both the high- and the midfrequency fibers. Averaged across fibers, filter order 2, and cutoff frequency 451 Hz for the second filter in the model was observed. The responses of low-frequency fibers (BF < 500 Hz) could not be fit with the sandwich model, because the Fourier transform K2 (f1,f2) of the second-order Wiener kernel showed significant components at off-diagonal frequencies f1 not equal to +/- f2. The presence of these off-diagonal components shows that, in addition to the phase and gain characteristics of auditory filters, the Wiener kernel analysis reveals nonlinear two-tone interactions.

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Mesh:

Year:  1994        PMID: 8132905     DOI: 10.1121/1.410009

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


  8 in total

1.  Wiener-Volterra characterization of neurons in primary auditory cortex using poisson-distributed impulse train inputs.

Authors:  Martin Pienkowski; Greg Shaw; Jos J Eggermont
Journal:  J Neurophysiol       Date:  2009-03-25       Impact factor: 2.714

Review 2.  Mechanics of the frog ear.

Authors:  Pim Van Dijk; Matthew J Mason; Richard L M Schoffelen; Peter M Narins; Sebastiaan W F Meenderink
Journal:  Hear Res       Date:  2010-02-10       Impact factor: 3.208

3.  Multidimensional stimulus encoding in the auditory nerve of the barn owl.

Authors:  Brian J Fischer; Jacob L Wydick; Christine Köppl; José L Peña
Journal:  J Acoust Soc Am       Date:  2018-10       Impact factor: 1.840

4.  Divergent Auditory Nerve Encoding Deficits Between Two Common Etiologies of Sensorineural Hearing Loss.

Authors:  Kenneth S Henry; Mark Sayles; Ann E Hickox; Michael G Heinz
Journal:  J Neurosci       Date:  2019-07-08       Impact factor: 6.167

5.  The effect of static ear canal pressure on human spontaneous otoacoustic emissions: spectral width as a measure of the intra-cochlear oscillation amplitude.

Authors:  Pim van Dijk; Bert Maat; Emile de Kleine
Journal:  J Assoc Res Otolaryngol       Date:  2011-02

Review 6.  Mechanics of the exceptional anuran ear.

Authors:  Richard L M Schoffelen; Johannes M Segenhout; Pim van Dijk
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-04-03       Impact factor: 1.836

7.  Distorted Tonotopic Coding of Temporal Envelope and Fine Structure with Noise-Induced Hearing Loss.

Authors:  Kenneth S Henry; Sushrut Kale; Michael G Heinz
Journal:  J Neurosci       Date:  2016-02-17       Impact factor: 6.167

8.  Noise-induced hearing loss increases the temporal precision of complex envelope coding by auditory-nerve fibers.

Authors:  Kenneth S Henry; Sushrut Kale; Michael G Heinz
Journal:  Front Syst Neurosci       Date:  2014-02-17
  8 in total

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