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Article Dans Une Revue Computational Intelligence and Neuroscience Année : 2011

EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing.

Résumé

We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools include (1) a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; (2) a neuroelectromagnetic forward head modeling toolbox (NFT) for building realistic electrical head models from available data; (3) a source information flow toolbox (SIFT) for modeling ongoing or event-related effective connectivity between cortical areas; (4) a BCILAB toolbox for building online brain-computer interface (BCI) models from available data, and (5) an experimental real-time interactive control and analysis (ERICA) environment for real-time production and coordination of interactive, multimodal experiments.
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Dates et versions

hal-00621251 , version 1 (09-09-2011)

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Arnaud Delorme, Tim Mullen, Christian Kothe, Zeynep Akalin Acar, Nima Bigdely-Shamlo, et al.. EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing.. Computational Intelligence and Neuroscience, 2011, 2011, pp.130714. ⟨10.1155/2011/130714⟩. ⟨hal-00621251⟩
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