Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation
Figure 3
Probability densities of four different orthant dependencies generated by the flashlight transformation.
The original distribution was the bivariate Clayton copula (parameter ). The transformation takes a set
as a parameter which contains the indices of the elements that are transformed. (A) Original Clayton copula, which is also recovered for
. (B) Element
is transformed (
). (C) Element
is transformed (
). (D) Both elements are transformed (
).