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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 ![]() ![]() ![]() ![]() ![]() ![]() Contributors |
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