pyeeg.cca.CCA_Estimator.plot_activation_map

CCA_Estimator.plot_activation_map(pos, n_comp=1, lag=0)

Plot the activation map from the spatial filter.

Computes the activation map a_map = (y.T @ y) @ coefResponse_ @ (s_hat.T @ s_hat)^-1 (with s_hat = y @ coefResponse_) and plots it as topographic maps, one per canonical component. When the response was time-lagged (lag_y) or a filterbank was used, a_map is reshaped over lags/frequencies and only the map at lag is shown.

Parameters:

• pos (array-like (nchans x 2)) – Channel positions (x, y) used for the topographic plots.

• n_comp (int, default: 1) – Number of canonical components to plot.

• lag (int, default: 0) – Index of the lag (or frequency band when a filterbank is used) at which the activation map is plotted. Only relevant when the response was time-lagged or a filterbank was used.