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