NSF awards $1 million for decoding massive brain datasets

With support from the National Science Foundation (NSF), scientists at Emory and Georgia Tech, Northwestern and the University of Chicago will use advanced “machine learning” techniques to decode the complex languages of the nervous system.

The NSF has awarded a team of researchers $1 million over three years to understand how networks of neurons work together to perceive the world and to generate the control signals needed to produce coordinated movement. Their project is titled "Discovering dynamics in massive-scale neural datasets using machine learning."

The team includes Chethan Pandarinath, PhD, in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University; Lee Miller, PhD at Northwestern; and Matthew Kaufman, PhD at the University of Chicago. Dr. Pandarinath is a NS faculty member.

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