• DocumentCode
    636847
  • Title

    A neuronal network model with simplified tonotopicity for tinnitus generation and its relief by sound therapy

  • Author

    Nagashino, Hirofumi ; Kinouchi, Yohsuke ; Danesh, Ali A. ; Pandya, Abhijit S.

  • Author_Institution
    Dept. of Biomed. Inf. Sci., Univ. of Tokushima, Tokushima, Japan
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    5966
  • Lastpage
    5969
  • Abstract
    Tinnitus is the perception of sound in the ears or in the head where no external source is present. Sound therapy is one of the most effective techniques for tinnitus treatment that have been proposed. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy, we have proposed conceptual and computational models with plasticity using a neural oscillator or a neuronal network model. In the present paper, we propose a neuronal network model with simplified tonotopicity of the auditory system as more detailed structure. In this model an integrate-and-fire neuron model is employed and homeostatic plasticity is incorporated. The computer simulation results show that the present model can show the generation of oscillation and its cessation by external input. It suggests that the present framework is promising as a modeling for the tinnitus generation and the effects of sound therapy.
  • Keywords
    ear; hearing aids; neurophysiology; patient treatment; physiological models; auditory system; clinical effects; computational models; computer simulation; conceptual models; ear; head; homeostatic plasticity; neural oscillator model; neuronal network model; oscillation generation; sound perception; sound therapy; tinnitus generation; tinnitus treatment; tonotopicity; Auditory system; Biological neural networks; Computational modeling; Couplings; Medical treatment; Neurons; Oscillators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610911
  • Filename
    6610911