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首页> 外文期刊>Acoustical physics >The use of neural networks for the determination of the signal modulation frequency from the firing activity pattern in the auditory neurons of the frog
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The use of neural networks for the determination of the signal modulation frequency from the firing activity pattern in the auditory neurons of the frog

机译：使用神经网络从青蛙的听觉神经元的发射活动模式确定信号调制频率

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A two-layer backward propagation neural network was used for the determination of the modulation frequency of tonal signals from the firing patterns of single neurons located in the cochlear nuclei and the torus semicircularis of the grass frog (Rana t. temporaria). As an input of the neural network, a sum of several single responses of a neuron to an amplitude- modulated stimulus was used. The number of inputs corresponded to the number of the time readouts of the summarized response (usually 60), and the number of output elements corresponded to the number of modulation frequencies to be distinguished (from 3 to 15). In the case of a good synchronization of the input firing activity with the signal envelope, the classification was successful even if the training and classification were performed with the use of individual responses. An increase in the number of summed responses to 10-20 lead to a simplification of the training procedure. The results of the study were discussed in the context of the problem of the formation of periodicity detectors at the upper levels of the auditory pathway in vertebrates.
机译：使用两层后向传播神经网络从草蛙（蛙蛙）的单个神经元和半圆环的单个神经元的发射模式确定音频信号的调制频率。作为神经网络的输入，使用了神经元对幅度调制刺激的多个单个响应的总和。输入数量对应于汇总响应的时间读数数量（通常为60），输出元件数量对应于要区分的调制频率数量（3至15）。在输入触发活动与信号包络良好同步的情况下，即使训练和分类是通过使用单个响应进行的，分类也是成功的。对10到20的总响应数增加导致训练程序的简化。在脊椎动物的听觉通路上层周期性检测器形成问题的背景下讨论了研究结果。

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