Noise cutoff (not yet implemented)

Calculation

Metric describing whether an amplitude distribution is cut off, similar to _amp_cutoff amplitude cutoff but without a Gaussian assumption. A histogram of amplitudes is created and quantifies the distance between the low tail, mean number of spikes and high tail in terms of standard deviations.

A SpikeInterface implementation is not yet available.

Expectation and use

Noise cutoff attempts to describe whether an amplitude distribution is cut off. The metric is loosely based on [Hill]’s amplitude cutoff, but is here adapted (originally by [IBL]) to avoid making the Gaussianity assumption on spike distributions. Noise cutoff provides an estimate of false negative rate, so a lower value indicates fewer missed spikes (a more complete unit).

Literature

Metric introduced by IBL (adapted from [Hill]’s amplitude cutoff metric).

Hill(1,2)

Hill, Daniel N., Samar B. Mehta, and David Kleinfeld. “Quality Metrics to Accompany Spike Sorting of Extracellular Signals.” The Journal of neuroscience 31.24 (2011): 8699–8705. Web.

IBL

International Brain Laboratory. “Spike sorting pipeline for the International Brain Laboratory”. 4 May 2022. 9 Jun 2022.