Contact: Dana W. Cruikshank
dcruiksh@nsf.gov
703-292-8070
National Science Foundation
Caption: 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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