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通过虚拟随机共振实现双耳音调感知的神经机制。

Neural mechanism for binaural pitch perception via ghost stochastic resonance.

作者信息

Balenzuela Pablo, García-Ojalvo Jordi

机构信息

Departament de Física e Enginyeria Nuclear, Universitat Politècnica de Catalunya, Colom 11, E-08222 Terrassa, Spain.

出版信息

Chaos. 2005 Jun;15(2):23903. doi: 10.1063/1.1871612.

DOI:10.1063/1.1871612
PMID:16035898
Abstract

We present a physiologically plausible binaural mechanism for the perception of the pitch of complex sounds via ghost stochastic resonance. In this scheme, two neurons are driven by noise and a different periodic signal each (with frequencies f(1)=kf(0) and f(2)=(k+1)f(0), where k>1), and their outputs (plus noise) are applied synaptically to a third neuron. Our numerical results, using the Morris-Lecar neuron model with chemical synapses explicitly considered, show that intermediate noise levels enhance the response of the third neuron at frequencies close to f(0), as in the cases previously described of ghost resonance. For the case of an inharmonic combination of inputs (f(1)=kf(0)+Deltaf and f(2)=(k+1)f(0)+Deltaf) noise is also seen to enhance the rates of most probable spiking for the third neuron at a frequency f(r)=f(0)+[Deltaf(k+12)]. In addition, we show that similar resonances can be observed as a function of the synaptic time constant. The suggested ghost-resonance-based stochastic mechanism can thus arise either at the peripheral level or at a higher level of neural processing in the perception of pitch.

摘要

我们提出了一种通过鬼随机共振来感知复杂声音音高的生理上合理的双耳机制。在该方案中,两个神经元分别由噪声和不同的周期性信号驱动(频率分别为f(1)=kf(0)和f(2)=(k + 1)f(0),其中k>1),并且它们的输出(加上噪声)通过突触作用于第三个神经元。我们使用明确考虑化学突触的Morris-Lecar神经元模型得到的数值结果表明,与之前描述的鬼共振情况一样,中等噪声水平会增强第三个神经元在接近f(0)频率处的响应。对于输入为非谐波组合的情况(f(1)=kf(0)+Δf和f(2)=(k + 1)f(0)+Δf),还可以看到噪声在频率f(r)=f(0)+[Δf(k + 1/2)]时增强了第三个神经元最可能的放电率。此外,我们表明可以观察到类似的共振是突触时间常数的函数。因此,所提出的基于鬼共振的随机机制可能出现在音高感知的外周水平或更高的神经处理水平。

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