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ICA separates the EEG signal mixtures recorded at the scalp into temporally maximally independent component time courses, allowing for the removal of artifactual processes. The transformation Ocular Correction ICA of BrainVision Analyzer 2 is a fantastic, easy to use tool to diminish the effects of eye movements in your EEG recordings based on data-driven methods.
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Today I am going to show how quickly a new method can be added to Analyzer using the Matlab Transformation. Analyzer offers an exciting possibility to export your data to Matlab, do some calculations there and import the results back to Analyzer in order to continue your work in its user friendly environment.
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This article demonstrate the MATLAB® transform interface, giving you some useful tricks including the MATLAB code that allows you to explore your data with a t-test.
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How do you spot an expert ICA user? Well, it would seem that an expert has the ability to tell at a glance: “This IC is clearly a myogen artifact, this IC is eye-activity and this one looks like a real EEG.”
This leads us to the question: how do you become an Expert ICA user?
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