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.
I am currently using the most standard Matlab environment. I have just tried to use SIFT for signal source estimation and received an error saying that I need to add Matlab's "Statistics and Machine Learning Toolbox". If you need to add a lot, this is the environment where SIFT cannot be used. Please let me know what optional toolboxes are needed.
Dear Professor in Charge
I am currently using the most standard Matlab environment. I have just tried to use SIFT for signal source estimation and received an error saying that I need to add Matlab's "Statistics and Machine Learning Toolbox". If you need to add a lot, this is the environment where SIFT cannot be used. Please let me know what optional toolboxes are needed.
Sincerely