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Everything about MNE-Python
Software
MNE-Python ("MNE") is an open source toolbox for EEG and MEG signal processing. It is written in Python and is available from the PyPI package repository. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: MNE-PythonA 5-minute orientation
- Skim a recent paper: Fully integrated Windows framework for source localization with MNE Python and FreeSurferInfluential work since 2022
- Read the landmark paper: MEG and EEG data analysis with MNE-PythonCited 3,943 times
- Go sideways: EEGLABA closely related topic
- Go sideways: Neurophysiological Biomarker ToolboxA closely related topic
📖 Definitions
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🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
MEG and EEG data analysis with MNE-Python
MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python
Intracranial Electrode Location and Analysis in MNE-Python
MNELAB: a graphical user interface for MNE-Python
MNE-LSL: Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.
Differentiating Mental Stress Levels: Analysing Machine Learning Algorithms Comparatively For EEG-Based Mental Stress Classification Using MNE-Python
EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data
Multi-source neural activity indices for EEG/MEG localization: A two-stage spatial filtering framework and extension to MNE-Python
🆕 Influential since 2022
📚 Books worth reading
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🔗 Related topics
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