Open-source Python package for exploring, visualizing, and analyzing
human neurophysiological data: MEG, EEG, sEEG, ECoG, NIRS, and more.
Distributed, sparse, mixed-norm, beamformers, dipole fitting, and more.
Advanced decoding models including time generalization.
Receptive field estimation with optional smoothness priors.
Parametric and non-parametric, permutation tests and clustering.
All-to-all spectral and effective connectivity measures.
Explore your data from multiple perspectives.