eConnectome
eConnectome (Electrophysiological Connectome) is an open-source MATLAB toolbox for imaging brain functional connectivity from electrophysiologic signals (http://econnectome.umn.edu/). It provides interactive graphical interfaces for EEG/ECoG preprocessing, source estimation, connectivity analysis and visualization. The current release allows connectivity imaging from EEG and ECoG over sensor and source domains. This package is designed for use by researchers in neuroscience, psychology, cognitive science, clinical neurophysiology, neurology and other disciplines. The graphical interface-based platform requires little programming knowledge or experience with MATLAB.
eConnectome is developed by the Biomedical Functional Imaging and Neuroengineering Laboratory at the University of Minnesota, directed by Dr. Bin He. The visualization module is jointly developed with Drs. Fabio Babiloni and Laura Astolfi at the University of Rome "La Sapienza".
eConnectome is developed by the Biomedical Functional Imaging and Neuroengineering Laboratory at the University of Minnesota, directed by Dr. Bin He. The visualization module is jointly developed with Drs. Fabio Babiloni and Laura Astolfi at the University of Rome "La Sapienza".
|
OR |
|
|
||
|
||
|
||
|
||
