Independent Component Analysis - Chapter 22: Brain Imaging Applications

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Independent Component Analysis - Chapter 22: Brain Imaging Applications

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With the advent of new anatomical and functional brain imaging methods, it is now possible to collect vast amounts of data from the living human brain. It has thus become very important to extract the essential features from the data to allow an easier representation or interpretation of their properties. This is a very promising area of application for independent component analysis (ICA). Not only is this an area of rapid growth and great importance; some kinds of brain imaging data also seem to be quite well described by the ICA model. ...

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