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Spectral Noise-Shaping in Integrate-and-Fire Neural Networks

机译:集成和防火神经网络中的光谱噪声整形

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A theory of coordinated neuronal firing events is proposed that allows the low-noise transmission of analog signals through a network of coupled neurons. The inherent quantization noise of a group of neurons can be shaped in the frequency domain in such a way as to provide a high signal-to-noise ratio over some specified signal bandwidth. This shaping is accomplished by using neural interconnections that resemble lateral inhibition.
机译:提出了一种协调神经元射击事件理论,其允许通过耦合神经元的网络进行模拟信号的低噪声传输。一组神经元的固有量化噪声可以以频域形式成形,以便在某些指定信号带宽上提供高信噪比。通过使用类似横向抑制的神经互连来实现这种成形。

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