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How to select the correct responses in BrainVision Analyzer

Categories: Markers, Support & Tips

Categories: Basic usage, Getting started with the BrainAmp MR, Support & Tips

Categories: Photo Sensor, StimTrak, Support & Tips, TriggerBox

Categories: Analysis methods, ICA - Independent Component Analysis, Support & Tips

Categories: Support & Tips

Categories: Extended functionality (Analyzer Solutions, Add ins, Matlab), Matlab Transformation, Support & Tips

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.

Categories: Basic usage, Support & Tips

Categories: Extended functionality (Analyzer Solutions, Add ins, Matlab), Matlab Transformation, Phase and Connectivity Analysis, Support & Tips

Categories: Analysis methods, Support & Tips

Categories: ICA - Independent Component Analysis, Support & Tips, Transformations

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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How to select the correct responses in BrainVision Analyzer

How to set up BrainVision Recorder for simultaneous EEG-fMRI

How to verify timing in your EEG setup

Independent Component Analysis (ICA) – demystified

Introducing the Sensor Tutorial

MATLAB transform fundamentals

New features in BrainVision Analyzer 2.2.0

New views made easy – Visualizing ECoG grids & connectivity matrices via Analyzer 2 MATLAB® transformation

Non-parametric permutation statistics made easy – Analyzer 2 and BESA Statistics 2.0

Ocular Correction ICA

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