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A plastic neural network model of sound therapy of tinnitus
Author(s) -
Fujimoto Ken'ichi,
Nagashino Hirofumi,
Kinouchi Yohsuke,
Danesh Ali A.,
Pandya Abhijit S.
Publication year - 2007
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20198
Subject(s) - tinnitus , artificial neural network , audiology , stimulus (psychology) , perception , computer science , acoustics , psychology , medicine , physics , neuroscience , artificial intelligence , cognitive psychology
Tinnitus is the perception of phantom sounds. There are sound therapy techniques which have the clinical effect of making the sufferers temporarily stop perceiving tinnitus. To account for mechanisms of tinnitus generation and the clinical effect of sound therapy from the viewpoint of neural engineering, this paper describes a neural network model with a plastic coupling on the human auditory system. Through numerical simulations we observed an oscillatory state and a nonoscillatory state in the model; it was also noticed that the value of the plastic coupling changes through external stimulus, and subsequently the oscillation is inhibited. By associating the oscillatory state with the state of tinnitus generation, it could be explained that the habituated human auditory system temporarily stops perceiving tinnitus after sound therapy. © 2007 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.