Jan 9, 2026 · All-to-all spectral and effective connec­tivity measures. Explore your data from multiple perspectives.

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Documentation for MNE-Python encompasses installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API reference.

We provide applications for the acquisition and processing of MEG/EEG data, both in real-time and offline. All applications are built on top of our cross-platform library which is available via an API and …

Nov 21, 2025 · Documentation for MNE-Python encompasses installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API reference.

Aug 15, 2017 · Once you have Python and MNE-Python up and running, you can use these tutorials to get started processing MEG/EEG. You can find each step of the processing pipeline, and re-run the …

MNE is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data: MEG, EEG, sEEG, ECoG, NIRS, and more. Be careful with assignments in …

Jan 9, 2026 · These tutorials provide narrative explanations, sample code, and expected output for the most common MNE-Python analysis tasks. The emphasis here is on thorough explanations that get …

Nov 21, 2025 · MNE-Python is a software for MEG and EEG data analysis. The main package for MNE-Python is named mne in conda-forge and should be suitable for most users. The conda recipe …

Sep 3, 2023 · The MNE (Magnetic and Electric Neuroimaging) open-source Python package is a powerful tool for exploring, visualizing, and analyzing human neurophysiological data.