Name
Abstract | ||
|---|---|---|
Tinnitus is the perception of phantom sound in the ears or in the head. There are many therapeutic approaches for tinnitus and sound therapy is one of the techniques for its treatment. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy from the viewpoint of neural engineering, we have proposed computational models with plasticity by Hebbian hypothesis using a neural oscillator or coupled model neurons described by simplified Hodgkin-Huxley equations. In the present paper, a neuronal network model with synaptic plasticity by STDP (spike-timing-dependent plasticity) hypothesis is proposed for replication of the clinical results that human auditory system temporarily halts perception of tinnitus following sound therapy. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/BHI.2012.6211607 | AIASABEBI'11 Proceedings of the 11th WSEAS international conference on Applied informatics and communications, and Proceedings of the 4th WSEAS International conference on Biomedical electronics and biomedical informatics, and Proceedings of the international conference on Computational engineering in systems applications |
Keywords | DocType | Citations |
neural oscillator,clinical effect,spike-timing-dependent plasticity,sound therapy,tinnitus management,neuronal network model,neural engineering,computational model,clinical result,tinnitus generation,synaptic plasticity,phantom sound,oscillation | Conference | 1 |
PageRank | References | Authors |
0.59 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hirofumi Nagashino | 1 | 6 | 7.07 |
| Y. Kinouchi | 2 | 22 | 16.80 |
| Ali A. Danesh | 3 | 1 | 1.26 |
| Abhijit S. Pandya | 4 | 108 | 22.91 |