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Awesome GitHub RepositoriesNeurophysiological Decoding Model Applications
Trains and evaluates advanced decoding models, including time generalization, on neurophysiological data.
Distinct from Machine Learning Evaluation: Distinct from Machine Learning Evaluation: specifically focuses on applying decoding models to neurophysiological data with time generalization, not general model evaluation.
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Awesome Neurophysiological Decoding Model Applications GitHub Repositories
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- mne-tools/mne-python
mne-tools/mne-python
3,243Voir sur GitHubMNE-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
Trains and evaluates advanced decoding models, including time generalization, on neurophysiological data.
Pythonecogeegelectrocorticography
