1 repository
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.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Neurophysiological Decoding Model Applications. Refine with filters or upvote what's useful.
Awesome Neurophysiological Decoding Model Applications GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- mne-tools/mne-python
mne-tools/mne-python
3,243Vezi pe 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
