Description:

BCILAB is a MATLAB toolbox for Brain-Computer Interface (BCI) research. It facilitates the design and development of new methods for cognitive state estimation and their use in both offline data analysis and real-time applications. The toolbox includes a collection of currently over 100 methods from the literature (covering signal processing, machine learning and BCI-specific methods) and heavily emphasizes easy extensibility (via plugins).

BCILAB is primarily aimed at methods developers looking for a framework which lets them rapidly prototype new methods and compare their performance against other state-of-the-art methods. It is also useful for experimental researchers (e.g., from Psychology, CogSci, HCI, Biomedical Engineering) looking for advanced methods to analyze their data through easy-to-use GUI or scripting interfaces.

While the focus of BCILAB is on EEG analysis, it can also be used with various other types of bio-signals or in principle also general-purpose time series analysis. The toolbox bundles several other open-source packages as dependencies.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows

Data Formats: Biosignal Formats

Tags: Bioinformatics, Sequence Analysis, Matlab, Bci, Brain Computer Interface, Electroencephalogram, Classification, Preprocessing, Manifold Learning, Algorithms, Supervised Learning, Toolbox, Probabilistic Models, Data Streams, Feature Extraction, Performance Measures, Filtering

Archive: download here

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