Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Fieldtrip | 782 | 3 months ago | 123 | gpl-3.0 | MATLAB | |||||
The MATLAB toolbox for MEG, EEG and iEEG analysis | ||||||||||
Dyconnmap | 89 | 10 months ago | 3 | November 26, 2019 | 5 | bsd-3-clause | Python | |||
A dynamic connectome mapping module in python. | ||||||||||
Scot | 54 | 2 | 1 | 8 months ago | 5 | February 09, 2016 | 31 | mit | Python | |
EEG/MEG Source Connectivity Toolbox in Python | ||||||||||
Conpy | 33 | 7 months ago | 5 | bsd-3-clause | Python | |||||
Python package for power mapping and functional connectivity using DICS | ||||||||||
Brainconn | 30 | 3 months ago | 11 | other | R | |||||
Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D | ||||||||||
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. | ||||||||||
Qeeg_feature_set | 19 | 3 years ago | 1 | bsd-3-clause | MATLAB | |||||
NEURAL: a neonatal EEG feature set in Matlab | ||||||||||
Happyfeat | 11 | 4 months ago | 1 | bsd-3-clause | Python | |||||
A framework for simplying BCI workflow in clinical applications | ||||||||||
Pacmeg | 10 | 4 years ago | 5 | gpl-3.0 | MATLAB | |||||
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data | ||||||||||
Hermes | 6 | 5 years ago | MATLAB | |||||||
Open-source software package (HERMES) for the analysis of functional and effective brain connectivity from neurological data (e.g. MEG, EEG, iEEG). |