What is mne?
Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data including EEG, MEG, sEEG, and ECoG. Source: tondevrel/scientific-agent-skills.
Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data including EEG, MEG, sEEG, and ECoG.
Quickly install mne AI skill to your development environment via command line
Source: tondevrel/scientific-agent-skills.
MNE provides sophisticated tools for filtering brain signals, epoching data, and performing source localization (mapping signals back to brain anatomy).
The standard pipeline: continuous raw data → segmented epochs → averaged evoked responses.
Sensor space: signals at electrodes. Source space: signals reconstructed at brain locations.
Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data including EEG, MEG, sEEG, and ECoG. Source: tondevrel/scientific-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/tondevrel/scientific-agent-skills --skill mneOpen-source Python package for exploring, visualizing, and analyzing human neurophysiological data including EEG, MEG, sEEG, and ECoG. Source: tondevrel/scientific-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill mne Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/tondevrel/scientific-agent-skills