Helper function for testing assumption of autocorrelation processing

The approach we're using is valid if autocorr (red lines) is below mean firing rate (blue line). If so, then the equation we're using to convert spiking autocorr to guassian sigma should work.

Usage

test.sigma.assumption(autocor_results)

Arguments

autocor_results

Data frame of autocorrelation results from the process.autocorr function.

Value

Nothing; this function produces a base-R plot for visual inspection.