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Awesome GitHub RepositoriesNeurophysiological Data Visualizations
Creates interactive and static plots of sensor and source-level neurophysiological data to explore patterns and results.
Distinct from Visual Data Exploration: Distinct from Visual Data Exploration: specifically targets neurophysiological sensor and source-level data visualization, not general tabular data exploration.
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Awesome Neurophysiological Data Visualizations GitHub Repositories
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- mne-tools/mne-python
mne-tools/mne-python
3,243在 GitHub 上查看MNE-Python is an open-source Python library for processing, visualizing, and analyzing human neurophysiological data, including MEG, EEG, sEEG, ECoG, and NIRS recordings. It provides a comprehensive framework for loading data from over 30 proprietary file formats into a common hierarchical FIF data structure, and represents all time-series data as NumPy arrays for seamless integration with the scientific Python ecosystem. The library is built around object-oriented data containers that encapsulate raw, epoched, evoked, and source data with built-in preprocessing and visualization methods. The
Creates interactive and static plots of sensor and source-level neurophysiological data for pattern exploration.
Pythonecogeegelectrocorticography
