Sift
SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sift | 22 | 7 months ago | 6 | other | MATLAB | |||||
| SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation. | ||||||||||
| Connectome_conv_net | 17 | 4 years ago | other | Python | ||||||
| Connectome-convolutional neural netvork for connectivity-based classificatin | ||||||||||
| Pacmeg | 10 | 4 years ago | 5 | gpl-3.0 | MATLAB | |||||
| MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data | ||||||||||
| Neural_py_eeg_feature_set | 5 | 2 years ago | 3 | July 26, 2022 | bsd-3-clause | Python | ||||
| NEURAL_py: a neonatal EEG feature set in python | ||||||||||
| Bsc_lcs | 5 | 3 years ago | mit | Python | ||||||
| Implementation of Brain Signal Classification via Learning Connectivity Structure | ||||||||||
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