Before revision:  The trial-shuffle method, for spike train data that is split into multiple trials, determines significant transfer entropy values independently for each individual pair of neurons , rather than globally comparing all neuron transfer entropy values . We establish the viability of this method by showing that it performs comparably or better to a previous approach in the literature based on the false positive detection rate .
After revision:  The trial-shuffle method, for spike train data that is split into multiple trials, determines significant transfer entropy values independently for each individual pair of neurons , rather than globally comparing all neuron transfer entropy values or comparing pairwise values to a single baseline value. In establishing the viability of this method by showing that it performs comparably or better to a previous approach in the literature based on the false positive detection rate .