How Brain Architecture Leads to Abstract Thought

UMass Amherst scientists link brain architecture to consciousness and abstract thought AMHERST, Mass – Using 20 years of functional magnetic resonance imaging (fMRI) data from tens of thousands of brain imaging experiments, computational neuroscientists Hava Siegelmann and a postdoctoral colleague at the University of Massachusetts Amherst have created a geometry-based method for massive data analysis to reach a new understanding of how thought arises from brain structure. The authors say their work paves the way for advances in the identification and treatment of brain disease, as well as in deep learning artificial intelligence (AI) systems. Details appear in the current issue of Nature Scientific Reports. As Siegelmann explains, fMRI detects changes in neural blood flow allowing researchers to relate brain activity with a cognitive behavior such as talking. She says,…


Link to Full Article: How Brain Architecture Leads to Abstract Thought