Spectral noise-shaping in integrate-and-fire neural networks

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 inherently high noise levels of a biological neuron can be reduced over a specified frequency range using a network of interconnected neurons. These interconnections cause certain statistical temporal patterns to occur in the summed output of a modest number of neurons, and these temporal patterns can dramatically improve the signal-to-noise ratio over a given frequency range