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Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation

Figure 8

Distribution of log likelihoods from models fitted to data from the sample stimulus phase.

The Clayton-copula model with different marginals was used. A histogram of samples is shown where each sample represents an average over spike-count vectors. The solid line corresponds to the log likelihood of the training set whereas the dashed line corresponds to the log likelihood of the validation set. (A) Model with Poisson marginals. (B) Model with negative binomial marginals. (C) Model with empirical marginals.

doi: https://doi.org/10.1371/journal.pcbi.1000577.g008