May 6, 2019
Dataset bridges human vision and machine learning
Posted by Mike Ruban in categories: biotech/medical, neuroscience, robotics/AI
Neuroscience, computer vision collaborate to better understand visual information processing PITTSBURGH—Neuroscientists and computer vision scientists say a new dataset of unprecedented size — comprising brain scans of four volunteers who each viewed 5,000 images — will help researchers better understand how the brain processes images. Researchers at Carnegie Mellon University and Fordham University, reporting today in the journal Scientific Data, said acquiring functional magnetic resonance imaging (fMRI) scans at this scale presented unique challenges. Each volunteer participated in 20 or more hours of MRI scanning, challenging both their perseverance and the experimenters’ ability to coordinate across scanning sessions. The extreme.