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Jay T. Rubinstein

Researcher at University of Washington

Publications -  153
Citations -  7323

Jay T. Rubinstein is an academic researcher from University of Washington. The author has contributed to research in topics: Cochlear implant & Speech perception. The author has an hindex of 45, co-authored 151 publications receiving 6751 citations. Previous affiliations of Jay T. Rubinstein include University of Iowa Hospitals and Clinics & Research Triangle Park.

Papers
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Channel noise in neurons

TL;DR: The probabilistic gating of voltage-dependent ion channels is a source of electrical 'channel noise' in neurons that might be exploited by future cochlear implants in order to improve the temporal representation of sound.
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Pseudospontaneous activity: stochastic independence of auditory nerve fibers with electrical stimulation

TL;DR: A novel signal processing strategy for cochlear implants designed to emphasize stochastic independence across the excited neural population is described, based on the observation that high rate pulse trains may produce random spike patterns in auditory nerve fibers that are statistically similar to those produced by spontaneous activity in the normal cochlea.
Journal Article

Residual speech recognition and cochlear implant performance: effects of implantation criteria.

TL;DR: In this paper, the effects of preoperative speech reception on postoperative speech recognition with a cochlear implant and a statistical index was developed to predict post-operation speech recognition before implantation.
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Spectral-Ripple Resolution Correlates with Speech Reception in Noise in Cochlear Implant Users

TL;DR: The present study demonstrates that the spectral-ripple discrimination test, which is time efficient and nonlinguistic, would be a useful tool to evaluate cochlear implant performance with different signal processing strategies.
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Music perception in cochlear implant users and its relationship with psychophysical capabilities.

TL;DR: A number of approaches have been proposed to improve music perception with cochlear implant users, including encoding fundamental frequency with modulation, "current-steering," MP3-like processing, and nerve "conditioning." If successful, these approaches could improve the quality of life for implantees by improving communication and musical and environmental awareness.