Literature DB >> 19110049

Practical model description of peripheral neural excitation in cochlear implant recipients: 4. model development at low pulse rates: general model and application to individuals.

Lawrence T Cohen1.   

Abstract

This fourth paper in the series presents the initial development of the model at low pulse rates, where refractory behavior is minimal. This is a necessary developmental stage that makes possible the subsequent incorporation of temporal effects, in the fifth paper. The model comprises a population of neural fibers spread along the cochlear duct, with normally distributed thresholds. Each has a finite dynamic range, allowing stochastic behavior. The fibers are stimulated by a field that is attenuated longitudinally according to a model-based function, scaled to fit an individual ECAP (compound action potential) measure of effective field attenuation. First, the model parameters were tuned to provide general trend matches to: the observed range of maximum comfortable level (MCL); the relationship between threshold and MCL; and the relationship between curvature of the loudness growth function and MCL. These trend differences between patients are explained by differing percentage of neural survival, although additional parameters clearly influence individual behavior. Second, the model was fitted to three electrodes in each of six subjects implanted with the Nucleus 24 cochlear implant system (three with straight and three with Contour electrode arrays). Across the subjects, different values were required for the "relative spread", a measure of neural fiber dynamic range relative to threshold, which indicated differences in neural stochasticity. The consistency of the fittings was assessed by comparing model emulations of the ECAP "spread of excitation" (SOE) measure with experimental findings.

Entities:  

Mesh:

Year:  2008        PMID: 19110049     DOI: 10.1016/j.heares.2008.11.008

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


  12 in total

1.  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

2.  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

3.  [Incomplete partition type III revisited-long-term results following cochlear implant. German version].

Authors:  A Alballaa; A Aschendorff; S Arndt; T Hildenbrand; C Becker; F Hassepass; R Laszig; R Beck; I Speck; T Wesarg; M C Ketterer
Journal:  HNO       Date:  2019-10       Impact factor: 1.284

4.  Modeling the electrode-neuron interface of cochlear implants: effects of neural survival, electrode placement, and the partial tripolar configuration.

Authors:  Joshua H Goldwyn; Steven M Bierer; Julie Arenberg Bierer
Journal:  Hear Res       Date:  2010-05-24       Impact factor: 3.208

5.  Incomplete partition type III revisited-long-term results following cochlear implant.

Authors:  A Alballaa; A Aschendorff; S Arndt; T Hildenbrand; C Becker; F Hassepass; R Laszig; R Beck; I Speck; T Wesarg; M C Ketterer
Journal:  HNO       Date:  2020-01       Impact factor: 1.284

6.  Relationships Among Peripheral and Central Electrophysiological Measures of Spatial and Spectral Selectivity and Speech Perception in Cochlear Implant Users.

Authors:  Rachel A Scheperle; Paul J Abbas
Journal:  Ear Hear       Date:  2015 Jul-Aug       Impact factor: 3.570

7.  Computational Modeling of Synchrony in the Auditory Nerve in Response to Acoustic and Electric Stimulation.

Authors:  Raymond L Goldsworthy
Journal:  Front Comput Neurosci       Date:  2022-06-17       Impact factor: 3.387

8.  Comparisons between detection threshold and loudness perception for individual cochlear implant channels.

Authors:  Julie Arenberg Bierer; Amberly D Nye
Journal:  Ear Hear       Date:  2014 Nov-Dec       Impact factor: 3.570

9.  A Phenomenological Model of the Electrically Stimulated Auditory Nerve Fiber: Temporal and Biphasic Response Properties.

Authors:  Colin D F Horne; Christian J Sumner; Bernhard U Seeber
Journal:  Front Comput Neurosci       Date:  2016-02-08       Impact factor: 2.380

10.  Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks.

Authors:  Nafise Erfanian Saeedi; Peter J Blamey; Anthony N Burkitt; David B Grayden
Journal:  PLoS Comput Biol       Date:  2016-04-06       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.