The calculation of neuronal signal-to-noise rations using sine-wave estimation of the system kernel

摘要

This paper outlines how the define neuronal signal-to-noise rations when neurons are driven by sinusoidal oscillation over time. We show how traditional sinusoidal vector strength can be converted into a well-behaved estimate of signal-to-noise ratio. The technique hinges on conversion between distributions via their density and inverse density function.