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: An ERICA data flow involving two separate computers each running an instance of the DataRiver application. Dashed lines indicate control signals. Here, computer visualization is performed using the Matlab DataRiver client MatRiver.

Article Snippet: After results of data stream synchronization and preprocessing have been accomplished within the ERICA framework, one may use BCILAB, an open-source MATLAB toolbox and EEGLAB [ ] plug-in, to support brain-computer interface (BCI) research, and more generally, the design, learning (or adaptation), use, and evaluation of real-time predictive models operating on signals.

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: 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: After results of data stream synchronization and preprocessing have been accomplished within the ERICA framework, one may use BCILAB, an open-source MATLAB toolbox and EEGLAB [ ] plug-in, to support brain-computer interface (BCI) research, and more generally, the design, learning (or adaptation), use, and evaluation of real-time predictive models operating on signals.

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: After results of data stream synchronization and preprocessing have been accomplished within the ERICA framework, one may use BCILAB, an open-source MATLAB toolbox and EEGLAB [ ] plug-in, to support brain-computer interface (BCI) research, and more generally, the design, learning (or adaptation), use, and evaluation of real-time predictive models operating on signals.

Techniques: Software

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: After results of data stream synchronization and preprocessing have been accomplished within the ERICA framework, one may use BCILAB, an open-source MATLAB toolbox and EEGLAB [ ] plug-in, to support brain-computer interface (BCI) research, and more generally, the design, learning (or adaptation), use, and evaluation of real-time predictive models operating on signals.

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: After results of data stream synchronization and preprocessing have been accomplished within the ERICA framework, one may use BCILAB, an open-source MATLAB toolbox and EEGLAB [ ] plug-in, to support brain-computer interface (BCI) research, and more generally, the design, learning (or adaptation), use, and evaluation of real-time predictive models operating on signals.

Techniques: Software