Literature DB >> 22668763

Current and planned cochlear implant research at New York University Laboratory for Translational Auditory Research.

Mario A Svirsky1, Matthew B Fitzgerald, Arlene Neuman, Elad Sagi, Chin-Tuan Tan, Darlene Ketten, Brett Martin.   

Abstract

The Laboratory of Translational Auditory Research (LTAR/NYUSM) is part of the Department of Otolaryngology at the New York University School of Medicine and has close ties to the New York University Cochlear Implant Center. LTAR investigators have expertise in multiple related disciplines including speech and hearing science, audiology, engineering, and physiology. The lines of research in the laboratory deal mostly with speech perception by hearing impaired listeners, and particularly those who use cochlear implants (CIs) or hearing aids (HAs). Although the laboratory's research interests are diverse, there are common threads that permeate and tie all of its work. In particular, a strong interest in translational research underlies even the most basic studies carried out in the laboratory. Another important element is the development of engineering and computational tools, which range from mathematical models of speech perception to software and hardware that bypass clinical speech processors and stimulate cochlear implants directly, to novel ways of analyzing clinical outcomes data. If the appropriate tool to conduct an important experiment does not exist, we may work to develop it, either in house or in collaboration with academic or industrial partners. Another notable characteristic of the laboratory is its interdisciplinary nature where, for example, an audiologist and an engineer might work closely to develop an approach that would not have been feasible if each had worked singly on the project. Similarly, investigators with expertise in hearing aids and cochlear implants might join forces to study how human listeners integrate information provided by a CI and a HA. The following pages provide a flavor of the diversity and the commonalities of our research interests. American Academy of Audiology.

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Year:  2012        PMID: 22668763      PMCID: PMC3677062          DOI: 10.3766/jaaa.23.6.5

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  84 in total

1.  Mathematical modeling of vowel perception by users of analog multichannel cochlear implants: temporal and channel-amplitude cues.

Authors:  M A Svirsky
Journal:  J Acoust Soc Am       Date:  2000-03       Impact factor: 1.840

2.  Speech perception by children with the Clarion (CIs) or nucleus 22 (SPEAK) cochlear implant or hearing aids.

Authors:  T A Meyer; M A Svirsky
Journal:  Ann Otol Rhinol Laryngol Suppl       Date:  2000-12

3.  Perceptual "vowel spaces" of cochlear implant users: implications for the study of auditory adaptation to spectral shift.

Authors:  J D Harnsberger; M A Svirsky; A R Kaiser; D B Pisoni; R Wright; T A Meyer
Journal:  J Acoust Soc Am       Date:  2001-05       Impact factor: 1.840

4.  Language development in profoundly deaf children with cochlear implants.

Authors:  M A Svirsky; A M Robbins; K I Kirk; D B Pisoni; R T Miyamoto
Journal:  Psychol Sci       Date:  2000-03

5.  A new software tool to optimize frequency table selection for cochlear implants.

Authors:  Daniel Jethanamest; Chin-Tuan Tan; Matthew B Fitzgerald; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2010-10       Impact factor: 2.311

6.  A mathematical model of medial consonant identification by cochlear implant users.

Authors:  Mario A Svirsky; Elad Sagi; Ted A Meyer; Adam R Kaiser; Su Wooi Teoh
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

7.  Feasibility of real-time selection of frequency tables in an acoustic simulation of a cochlear implant.

Authors:  Matthew B Fitzgerald; Elad Sagi; Tasnim A Morbiwala; Chin-Tuan Tan; Mario A Svirsky
Journal:  Ear Hear       Date:  2013 Nov-Dec       Impact factor: 3.570

8.  Speech perception in congenitally deaf children receiving cochlear implants in the first year of life.

Authors:  Bobby A Tajudeen; Susan B Waltzman; Daniel Jethanamest; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2010-10       Impact factor: 2.311

9.  Changes in educational placement and speech perception ability after cochlear implantation in children.

Authors:  H Daya; A Ashley; C Gysin; B C Papsin
Journal:  J Otolaryngol       Date:  2000-08

10.  Pitch comparisons between electrical stimulation of a cochlear implant and acoustic stimuli presented to a normal-hearing contralateral ear.

Authors:  Robert P Carlyon; Olivier Macherey; Johan H M Frijns; Patrick R Axon; Randy K Kalkman; Patrick Boyle; David M Baguley; John Briggs; John M Deeks; Jeroen J Briaire; Xavier Barreau; René Dauman
Journal:  J Assoc Res Otolaryngol       Date:  2010-06-05
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  4 in total

1.  Pitch Matching between Electrical Stimulation of a Cochlear Implant and Acoustic Stimuli Presented to a Contralateral Ear with Residual Hearing.

Authors:  Chin-Tuan Tan; Brett Martin; Mario A Svirsky
Journal:  J Am Acad Audiol       Date:  2017-03       Impact factor: 1.664

2.  A potential neurophysiological correlate of electric-acoustic pitch matching in adult cochlear implant users: Pilot data.

Authors:  Chin-Tuan Tan; Brett A Martin; Mario A Svirsky
Journal:  Cochlear Implants Int       Date:  2018-03-06

3.  Gradual adaptation to auditory frequency mismatch.

Authors:  Mario A Svirsky; Thomas M Talavage; Shivank Sinha; Heidi Neuburger; Mahan Azadpour
Journal:  Hear Res       Date:  2014-11-06       Impact factor: 3.208

4.  Valid Acoustic Models of Cochlear Implants: One Size Does Not Fit All.

Authors:  Mario A Svirsky; Nicole Hope Capach; Jonathan D Neukam; Mahan Azadpour; Elad Sagi; Ariel Edward Hight; E Katelyn Glassman; Annette Lavender; Keena P Seward; Margaret K Miller; Nai Ding; Chin-Tuan Tan; Matthew B Fitzgerald
Journal:  Otol Neurotol       Date:  2021-12-01       Impact factor: 2.311

  4 in total

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