API Documentation¶

Main MNE-RSA functions¶

`rsa_epochs`(epochs, rdm_model[, noise_cov, ...])	Perform RSA in a searchlight pattern on epochs.
`rsa_evokeds`(evokeds, rdm_model[, noise_cov, ...])	Perform RSA in a searchlight pattern on evokeds.
`rsa_stcs`(stcs, rdm_model, src[, ...])	Perform RSA in a searchlight pattern on MNE-Python source estimates.
`rsa_nifti`(image, rdm_model[, ...])	Perform RSA in a searchlight pattern on Nibabel Nifti-like images.

`compute_rdm`(data[, metric])	Compute a dissimilarity matrix (RDM).
`compute_rdm_cv`(folds[, metric])	Compute a dissimilarity matrix (RDM) using cross-validation.
`rdm_epochs`(epochs[, noise_cov, ...])	Generate RDMs in a searchlight pattern on epochs.
`rdm_stcs`(stcs, src[, spatial_radius, ...])	Generate RDMs in a searchlight pattern on MNE-Python source estimates.
`rdm_nifti`(image[, spatial_radius, ...])	Generate RDMs in a searchlight pattern on Nibabel Nifty-like images.

rdm_array(X[, patches, dist_metric, ...])

Generate RDMs from an array of data, possibly in a searchlight pattern.

`rsa`(rdm_data, rdm_model[, metric, ...])	Perform RSA between data and model RDMs.
`rsa_array`(X, rdm_model[, patches, ...])	Perform RSA on an array of data, possibly in a searchlight pattern.
`rsa_gen`(rdm_data_gen, rdm_model[, metric, ...])	Generate RSA values between data and model RDMs.

searchlight(shape[, dist, spatial_radius, ...])

Generate indices for searchlight patches.

plot_rdms(rdms[, names, items, n_rows, ...])

Plot one or more RDMs

create_folds(X[, y, n_folds])

Group individual items into folds suitable for cross-validation.