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At UCLA’s Laboratory of Integrative Neuroimaging Technology, researchers use functional MRI brain scans to observe brain signal changes that take place during mental activity. They then employ computerized machine learning (ML) methods to study these patterns and identify the cognitive state—or sometimes the thought process—of human subjects. The technique is called “brain reading” or “brain decoding.” In a new study, the UCLA research team describes several crucial advances in this field, using fMRI and machine learning methods to perform “brain reading” on smokers experiencing nicotine cravings.
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