Spike-triggered covariance

Spike-triggered covariance (STC) analysis is a tool for characterizing a neuron's response properties using the covariance of stimuli that elicit spikes from a neuron. STC is related to the spike-triggered average (STA), and provides a complementary tool for estimating linear filters in a linear-nonlinear-Poisson (LNP) cascade model.

Source: Wikipedia — Spike-triggered covariance (CC BY-SA 4.0)

Spike-triggered covariance

Spike-triggered covariance (STC) analysis is a tool for characterizing a neuron's response properties using the covariance of stimuli that elicit spikes from a neuron. STC is related to the spike-triggered average (STA), and provides a complementary tool for estimating linear filters in a linear-nonlinear-Poisson (LNP) cascade model.

This neuron ends here.

Source: Wikipedia "Spike-triggered covariance" · CC BY-SA 4.0

Share this article: X · Bluesky
Privacy Policy