Decoding visual brain states from fMRI using an ensemble of classifiers
Decoding perceptual or cognitive states based on brain activity measured using functional magnetic resonance imaging (fMRI) can be achieved using machine learning algorithms to train classifiers of specific stimuli. However, the high dimensionality and intrinsically low signal to noise ratio (SNR) o...
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Published in | Pattern recognition Vol. 45; no. 6; pp. 2064 - 2074 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2012
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Subjects | |
Online Access | Get full text |
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