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Harmony perception and regularity of spike trains in a simple auditory model

机译:简单听觉模型中钉火车的和谐感知和规律

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A probabilistic approach for investigating the phenomena of dissonance and consonance in a simple auditory sensory model, composed by two sensory neurons and one interneuron, is presented. We calculated the interneuron's firing statistics, that is the interspike interval statistics of the spike train at the output of the interneuron, for consonant and dissonant inputs in the presence of additional "noise", representing random signals from other, nearby neurons and from the environment. We find that blurry interspike interval distributions (ISIDs) characterize dissonant accords, while quite regular ISIDs characterize consonant accords. The informational entropy of the non-Markov spike train at the output of the interneuron and its dependence on the frequency ratio of input sinusoidal signals is estimated. We introduce the regularity of spike train and suggested the high or low regularity level of the auditory system's spike trains as an indicator of feeling of harmony during sound perception or disharmony, respectively.
机译:提出了一种概率,用于研究由两个感官神经元和一个内核组成的简单听觉感官模型中的解剖和和谐的现象的方法。我们计算了Interneuron的射击统计数据,即尖峰列车的间隔统计数据在额外的“噪声”中的辅音和消除输入中,表示来自其他,附近神经元和环境的随机信号。我们发现模糊的间隙间隔分布(ISID)表征了异解协调,而相当普通的ISID表征辅音协议。估计了在Interneuron输出的非马车峰列车的信息熵及其对输入正弦信号的频率比的依赖性。我们介绍了尖峰列车的规律性,并提出了听觉系统飙升列车的高或低规律水平,分别是声音感知或不和谐期间和谐的指标。

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