With Big Data And Little Sleep, CMU Students Work To Accelerate Pace Of Brain Mapping

Graduate students at Carnegie Mellon University have discovered a method for classifying nerve fibers that could accelerate the pace of brain-mapping projects. As part of the University’s first ever Neurohackathon, students studying computer science, machine learning and neural computation put their skills to use analyzing large datasets generated by researchers on campus. Five teams competed in the two-day event, which was organized by faculty involved with CMU’s multi-disciplinary brain research center, BrainHub. The winning team analyzed data from more than 130,000 three-dimensional MRI images showing the paths of nerve fiber bundles through the brain. “For example, there is a big one that goes horizontally, connecting the left and right hemispheres,” said Ph.D. student Ying Yang, who is studying machine learning and neural computation. For the most part, every human brain…


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