Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data

doi:10.1371/journal.pcbi.1008054

Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data

Fig 7

The p-values obtained when using continuous and discrete-time estimators to infer non-zero information flow in the noisy copy process.

The estimators are applied to both (expected to have zero flow) and (expected to have non-zero flow and therefore be indicated as statistically significant). Only the results from the continuous-time estimator match these expectations. Ticks represent the particular combination of estimator and surrogate generation scheme making the correct inference in the majority of cases when a cutoff value of p = 0.05 is used. The dotted line shows p = 0.05.

doi: https://doi.org/10.1371/journal.pcbi.1008054.g007