open-source brain-computer interface Search Results


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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 <t>Matlab</t> DataRiver client MatRiver.
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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 <t>Matlab</t> DataRiver client MatRiver.
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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 <t>Matlab</t> DataRiver client MatRiver.
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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 <t>Matlab</t> DataRiver client MatRiver.
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Image Search Results


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.

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