plot_rsa_result.py

import mne
import numpy as np
import mne_rsa

dsms_file = np.load('pilot2_dsms.npz')
meg_dsms = dsms_file['dsms']
model_dsms = ...  # Up to you to create

# RSA: compare all MEG DSMs to all model DSMs
rsa_results = mne_rsa.rsa(meg_dsms, model_dsms, metric='spearman')
rsa_results = rsa_results.reshape(202, 71)  # Reshape into sensors x times

# Pack the RSA results into an MNE-Python Evoked object in order to visualize it
info = mne.io.read_info('info_template.fif')  # Contains sensor names and locations
rsa_results = mne.EvokedArray(rsa_results, info, tmin=dsms_file['times'][0])

# Plot
rsa_results.plot_topo()