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

Figure 9

Monte Carlo estimates of the mutual information between stimuli and responses.

The estimation is based on the Clayton-copula model with negative binomial marginals. The Monte Carlo method was terminated when the standard error was below . The sample stimulus was presented in phase two, whereas the test stimulus was presented in phase four. For the test stimulus phase, the estimation was performed twice: for the sample stimulus that was previously presented (dashed line) and for the test stimulus (dotted line). (A) Estimated mutual information based on IFM parameters determined on the training set for each of the task phases (pre-stimulus, sample stimulus, delay, and test stimulus). (B) Estimated information increase that is due to the dependence structure. The mutual information of the model with independent spike-counts and negative binomial marginals was subtracted from and normalized to the mutual information of the Clayton-copula model with negative binomial marginals.

doi: https://doi.org/10.1371/journal.pcbi.1000577.g009