Utilities

correlation(A, B)	Compute the correlation coefficient.
euclidean(A, B)	Compute the Euclidean distance.
covariance(X[, n_old, avg_old, cov_old, ...])	Compute the covariance matrix.
decoding_matrix(data, length[, stride])	Make a Hankel-like decoding matrix.
encoding_matrix(stimulus, length[, stride, ...])	Make a Toeplitz-like encoding matrix.
event_matrix(stimulus, event[, onset_event])	Make an event matrix.
correct_latency(X, y, latency, fs[, axis])	Correct for a latency in data.
filterbank(X, passbands, fs[, tmin, ftype, ...])	Apply a filterbank.
find_neighbours(layout[, border_value])	Find the neighbour pairs in a rectangular layout.
find_worst_neighbour(score, neighbours, layout)	Find the neighbouring pair with maximum score.
trials_to_epochs(X, y, codes, epoch_size, ...)	Slice trials to epochs.
itr(n, p, t)	Compute the information-transfer rate (ITR).