Literature DB >> 10356869

A stochastic model of the electrically stimulated auditory nerve: pulse-train response.

I C Bruce1, L S Irlicht, M W White, S J O'Leary, S Dynes, E Javel, G M Clark.   

Abstract

The single-pulse model of the companion paper [1] is extended to describe responses to pulse trains by introducing a phenomenological refractory mechanism. Comparisons with physiological data from cat auditory nerve fibers are made for pulse rates between 100 and 800 pulses/s. First, it is shown that both the shape and slope of mean discharge rate curves are better predicted by the stochastic model than by the deterministic model. Second, while interpulse effects such as refractory effects do indeed increase the dynamic range at higher pulse rates, both the physiological data and the model indicate that much of the dynamic range for pulse-train stimuli is due to stochastic activity. Third, it is shown that the stochastic model is able to predict the general magnitude and behavior of variance in discharge rate as a function of pulse rate, while the deterministic model predicts no variance at all.

Mesh:

Year:  1999        PMID: 10356869     DOI: 10.1109/10.764939

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  20 in total

1.  Renewal-process approximation of a stochastic threshold model for electrical neural stimulation.

Authors:  I C Bruce; L S Irlicht; M W White; S J O'Leary; G M Clark
Journal:  J Comput Neurosci       Date:  2000 Sep-Oct       Impact factor: 1.621

2.  Cortical responses to cochlear implant stimulation: channel interactions.

Authors:  Julie Arenberg Bierer; John C Middlebrooks
Journal:  J Assoc Res Otolaryngol       Date:  2003-10-20

3.  Improved temporal coding of sinusoids in electric stimulation of the auditory nerve using desynchronizing pulse trains.

Authors:  Leonid M Litvak; Bertrand Delgutte; Donald K Eddington
Journal:  J Acoust Soc Am       Date:  2003-10       Impact factor: 1.840

4.  A point process framework for modeling electrical stimulation of the auditory nerve.

Authors:  Joshua H Goldwyn; Jay T Rubinstein; Eric Shea-Brown
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

5.  Examining the auditory nerve fiber response to high rate cochlear implant stimulation: chronic sensorineural hearing loss and facilitation.

Authors:  Leon F Heffer; David J Sly; James B Fallon; Mark W White; Robert K Shepherd; Stephen J O'Leary
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

6.  Encoding and decoding amplitude-modulated cochlear implant stimuli--a point process analysis.

Authors:  Joshua H Goldwyn; Eric Shea-Brown; Jay T Rubinstein
Journal:  J Comput Neurosci       Date:  2010-02-23       Impact factor: 1.621

7.  Loudness adaptation in acoustic and electric hearing.

Authors:  Qing Tang; Sheng Liu; Fan-Gang Zeng
Journal:  J Assoc Res Otolaryngol       Date:  2006-01-20

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.  Dynamical instability determines the effect of ongoing noise on neural firing.

Authors:  David E O'Gorman; John A White; Christopher A Shera
Journal:  J Assoc Res Otolaryngol       Date:  2009-03-24

10.  Current focusing and steering: modeling, physiology, and psychophysics.

Authors:  Ben H Bonham; Leonid M Litvak
Journal:  Hear Res       Date:  2008-04-06       Impact factor: 3.208

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.