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.

Richard Höchenberger's workshop on MNE Python, recorded 16-17 November, 2020. Workshop materials and notebooks: https://github.com/hoechenberger/pybr......more

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.

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 …

Sep 8, 2025 · MNE-python is built on the older MNE-suite software, which has developed around the fif-file format (i.e. the native file format for neuromag/elekta/megin MEG devices), with a strong focus on …

Jan 9, 2026 · These data are provided solely for the purpose of getting familiar with the MNE software. The data should not be used to evaluate the performance of the MEG or MRI system employed.

Jan 9, 2026 · In MNE-Python, the resampling methods (raw.resample(), epochs.resample() and evoked.resample()) apply a low-pass filter to the signal to avoid aliasing, so you don’t need to …