fMRI data trove yields new insights into consciousness and abstract thought

16 December 2015by Will Parker Using 20 years of functional magnetic resonance imaging (fMRI) data from tens of thousands of brain imaging experiments, neuroscientists at the University of Massachusetts have created a geometry-based method for massive data analysis to reach a new understanding of how thought arises from brain structure. The research, appearing in the current issue of Nature Scientific Reports, should provide fresh insights for researchers working in the field of deep learning artificial intelligence (AI) systems. “fMRI detects changes in neural blood flow allowing researchers to relate brain activity with a cognitive behavior such as talking,” explained study co-author and computational neuroscientist Hava Siegelmann (pictured). “The fMRI-based research did a wonderful job relating specific brain areas with activities. But no one ever tied together the tens of thousands…


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