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首页> 外文期刊>Journal of Computational Neuroscience >Noise, Not Stimulus Entropy, Determines Neural Information Rate
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Noise, Not Stimulus Entropy, Determines Neural Information Rate

机译：噪声而不是刺激熵决定了神经信息率

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In the quest for deciphering the neural code, theoretical advances were made which allow for the determination of the information rate inherent in the spike trains of nerve cells. However, up to now, the dependence of the information rate on stimulus parameters has not been studied in any neuron in a systematic way. Here, I investigate the information carried by the spike trains of H1, a motion-sensitive visual interneuron of the blowfly (Calliphora vicina) using a moving grating as a stimulus. Stimulus parameters fall in two classes: those that have only a minor effect on the information rate like increasing the frequency bandwidth or the maximum amplitude of the stimulus velocity, and those which dramatically affect the neural information rate, like varying the spatial size or the contrast of the visual pattern being moved. It appears that, for a broad range of complex stimuli, the neuron covers the stimulus with its whole response repertoire regardless of the stimulus entropy, with the information rate being limited by the noise of the stimulus and the neural hardware.
机译：在寻求解密神经密码的过程中，取得了理论上的进步，这些进步使得确定神经细胞的尖峰序列固有的信息速率成为可能。但是，到目前为止，还没有系统地研究任何神经元中信息速率对刺激参数的依赖性。在这里，我研究了H1的穗状花序所携带的信息，H1是蝇类（Calliphora vicina）的运动敏感视觉中间神经元，它使用移动的光栅作为刺激。刺激参数分为两类：那些对信息速率影响很小的参数，例如增加频率带宽或最大刺激速度幅度；那些显着影响神经信息速率的参数，例如改变空间大小或对比度视觉图案的移动。似乎，对于广泛范围的复杂刺激，神经元覆盖了整个响应库，而与刺激熵无关，其信息速率受刺激噪声和神经硬件的限制。

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