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News Release 08-091
A Computer That Can 'Read' Your Mind
Research team's work with brain scans and computational modeling an important breakthrough in understanding the brain and developing new computational tools
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Predicted fMRI images for "celery" and "airplane" show significant similarities with the observed images for each word. Red indicates areas of high activity, blue indicates low activity.
Credit: Courtesy of Science
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Carnegie Mellon researchers predicted the functional magnetic resonance imaging (fMRI) activation pattern for concrete nouns such as "celery" by statistically analyzing each noun's co-occurrence with 25 verbs such as "eat," "taste," and "fill" in a text database. The predicted brain activity is created by combining the fMRI signatures for each of these verbs weighted according to the frequency of their co-occurrences with the noun.
Credit: Courtesy of Science
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Tom Mitchell, head of the School of Computer Science's Machine Learning Department at Carnegie Mellon University and Marcel Just, a professor of psychology who directs the Center for Cognitive Brain Imaging at Carnegie Mellon University.
Credit: Carnegie Mellon University
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