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Dynamical Properties of a Plastic Neural Network Model for Tinnitus Therapy and Inhibition of Oscillation Using Noise Stimulus

机译:耳鸣治疗塑性神经网络模型的动态特性及噪声刺激振荡抑制

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Tinnitus is the perception of phantom sounds in the ears or in the head. Sound therapy techniques for tinnitus have been proposed. To account for mechanisms of tinnitus generation and the clinical effects of sound therapies from the viewpoint of neural engineering, we have proposed a plastic neural network model for the human auditory system. We found that this model has a bistable state, i.e., a stable oscillatory state and a stable equilibrium (non-oscillatory) state coexist at a certain parameter region. We also found that the oscillation can be inhibited by supplying sinusoidal stimulus, which is hypothesized as sound for treatment of tinnitus, to the model. By hypothesizing that the oscillation and the equilibrium correspond to generation and inhibition of tinnitus, respectively, we reported that these phenomena could explain the fact that the habituated human auditory system temporarily halts perception of tinnitus following sound therapy. This paper describes dynamical properties of the model and inhibition of the oscillation for two kinds of noise stimuli which correspond to sound for treatment of tinnitus in clinical. Through numerical simulations we found that adequate noise stimulus can inhibits the oscillation.
机译:耳鸣是耳朵或头部的幻象声音的感知。已经提出了耳鸣的声音治疗技术。为了从神经工程的观点来看,从神经工程的观点来看,耳鸣产生和声音疗法的临床影响,我们提出了一种用于人类听觉系统的塑料神经网络模型。我们发现该模型具有双稳态状态,即稳定的振荡状态和某个参数区域的稳定振荡状态和稳定的平衡(非振荡)状态共存。我们还发现,通过供应正弦刺激,可以抑制振荡,这被假设为用于治疗耳鸣的声音。通过假设振荡和均衡分别对应于耳鸣的产生和抑制,我们报道说,这些现象可以解释习惯的人类听觉系统暂时停止声音治疗后耳鸣感染的事实。本文介绍了两种噪声刺激振荡的模型和抑制的动态特性,其对应于临床治疗耳鸣的声音。通过数值模拟,我们发现充足的噪声刺激可以抑制振荡。

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