Literature DB >> 2584157

Spontaneous rates, thresholds and tuning of auditory-nerve fibers in the gerbil: comparisons to cat data.

R A Schmiedt1.   

Abstract

Characteristics of 245 auditory nerve fibers in eleven Mongolian gerbils are described in terms of spontaneous rates, thresholds, and tuning curves. The animals were reared in a low-noise environment and had similar hearing thresholds across frequency. Tuning curves were obtained with an algorithm developed to characterize the tuning of auditory fibers in cat, thereby allowing direct comparisons to published data from cat. The results demonstrate that basic similarities exist between gerbil and cat data, although some minor differences are also apparent. Tuning curve bandwidths, as measured 10 and 40 dB above the thresholds at the characteristic frequency (CF), follow trends found in cat data. Like cat, auditory nerve fibers in the gerbil have a range of spontaneous rates. In individual gerbils, fibers associated with low spontaneous rates have higher thresholds than do fibers of similar CF with high rates. Five of the eleven gerbils showed profiles of spontaneous rate across frequency reminiscent of those obtained from quiet-raised young cats. The profiles of the remaining gerbils tended to be compressed to a smaller range of spontaneous rates for characteristic frequencies above about five kHz, much like older cats with unknown noise histories. The cause of the spontaneous compression is not obvious. The correspondence between cat and gerbil with regard to spontaneous rate and CF threshold implies the presence of fundamental mechanisms that are common to mammalian auditory systems.

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Year:  1989        PMID: 2584157     DOI: 10.1016/0378-5955(89)90115-9

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  39 in total

Review 1.  Complex primary afferents: What the distribution of electrophysiologically-relevant phenotypes within the spiral ganglion tells us about peripheral neural coding.

Authors:  Robin L Davis; Qing Liu
Journal:  Hear Res       Date:  2011-01-27       Impact factor: 3.208

2.  Functional correlates of characteristic frequency in single cochlear nerve fibers of the Mongolian gerbil.

Authors:  K K Ohlemiller; S M Echteler
Journal:  J Comp Physiol A       Date:  1990-08       Impact factor: 1.836

3.  Exocytosis in the frog amphibian papilla.

Authors:  Patricia M Quiñones; Cindy Luu; Felix E Schweizer; Peter M Narins
Journal:  J Assoc Res Otolaryngol       Date:  2011-11-29

4.  Chronic reduction of endocochlear potential reduces auditory nerve activity: further confirmation of an animal model of metabolic presbyacusis.

Authors:  Hainan Lang; Vinu Jyothi; Nancy M Smythe; Judy R Dubno; Bradley A Schulte; Richard A Schmiedt
Journal:  J Assoc Res Otolaryngol       Date:  2010-04-06

5.  Mitochondria-activated cisternae generate the cell specific vesicles in auditory hair cells.

Authors:  Samuel S Spicer; Chunyan Qu; Nancy Smythe; Bradley A Schulte
Journal:  Hear Res       Date:  2007-07-31       Impact factor: 3.208

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

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

Review 7.  No longer falling on deaf ears: mechanisms of degeneration and regeneration of cochlear ribbon synapses.

Authors:  Guoqiang Wan; Gabriel Corfas
Journal:  Hear Res       Date:  2015-04-30       Impact factor: 3.208

8.  Threshold tuning curves of chinchilla auditory nerve fibers. II. Dependence on spontaneous activity and relation to cochlear nonlinearity.

Authors:  Andrei N Temchin; Nola C Rich; Mario A Ruggero
Journal:  J Neurophysiol       Date:  2008-08-27       Impact factor: 2.714

9.  Age-Related Changes in Processing Simultaneous Amplitude Modulated Sounds Assessed Using Envelope Following Responses.

Authors:  Aravindakshan Parthasarathy; Jesyin Lai; Edward L Bartlett
Journal:  J Assoc Res Otolaryngol       Date:  2016-02-23

10.  Sensory Neuron Diversity in the Inner Ear Is Shaped by Activity.

Authors:  Brikha R Shrestha; Chester Chia; Lorna Wu; Sharon G Kujawa; M Charles Liberman; Lisa V Goodrich
Journal:  Cell       Date:  2018-08-02       Impact factor: 41.582

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