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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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The new export function Create New Dataset available in Analyzer 2.0.3. makes the creation of new datasets out of present history nodes much easier.
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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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The ABE formalism uses logical operators and predefined functions to effectively perform conditional segmentation in BrainVision Analyzer 2. It is especially useful when segmentation relative to a marker depends on its temporal location...
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In this article we present three typical examples of how the new features of Edit Channels transformation in BrainVision Analyzer 2 facilitate your daily analysis.
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