matlab-based bcilab  (MathWorks Inc)

Journal: Computational Intelligence and Neuroscience

Article Title: EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing

doi: 10.1155/2011/130714

Figure Lengend Snippet: Complete electrophysiological experiment control, data collection, analysis, archiving, and meta-analysis suite: the EEGLAB environment for data analysis; the ERICA framework for data recording, online analysis, and stimulus control; the BCILAB toolbox for online and offline classification and BCI; the SIFT toolbox for information flow modeling; HeadIT, an archival data and tools resource under development for laboratory or archival data storage, retrieval and meta-analysis; dashed lines indicates planned interfaces under construction.

Article Snippet: For example, given a collection of data sets, one per subject, containing imagined movements of either the left or the right hand in random order, with events “SL” and “SR” indicating the timing and type of the respective cue stimuli, a user of the Matlab-based BCILAB scripting interface may proceed as follows: For each subject, This analysis gives the prediction accuracy results that are the key ingredient of most BCI publications (along with visualizations).

Techniques: Control

Journal: Computational Intelligence and Neuroscience

Article Title: EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing

doi: 10.1155/2011/130714

Figure Lengend Snippet: Components of the extended SCCN software suite.

Article Snippet: For example, given a collection of data sets, one per subject, containing imagined movements of either the left or the right hand in random order, with events “SL” and “SR” indicating the timing and type of the respective cue stimuli, a user of the Matlab-based BCILAB scripting interface may proceed as follows: For each subject, This analysis gives the prediction accuracy results that are the key ingredient of most BCI publications (along with visualizations).

Techniques: Software