MS, University of Rochester PhD, University of Rochester
Training:
University of Texas Medical School, Houston, TX Washington University School of Medicine, St. Louis, MO Salk Institute for Biological Studies, La Jolla, CA University of Minnesota, Minneapolis, MN
Research interests:
Vision
Brain function and dysfunction under real-world conditions
Perception and action under uncertainty Multisensory integration Perceptual learning and expertise
Current projects:
Neural mechanisms of camouflage-breaking Perception of complex visual Images, including medical images Multisensory perception and learning
Lab members:
Fallon Branch, MS
Regions in the human brain that are differentially responsive during successful camouflage-breaking
Selected publications:
Bart, E. and Jay Hegd茅, J. (eds.) Deep Learning in Biological, Computer, and Neuromorphic
Systems. Frontiers Media SA. (2019) https://www.frontiersin.org/research-topics/6608/deep-learning-in-biological-computer-and-neuromorphic-systems.
Hegd茅, J. Neural Mechanisms of High-Level Vision. Compr Physiol. 8:3. doi: 10.1002/cphy.c160035.(2018).
Bart, E. and Hegd茅, J. Deep Synthesis of Realistic Medical Images: A Novel Tool in
Clinical Research and Training. Frontiers in Neuroinformatics 12:82. doi: 10.3389/fninf.2018.00082.
PMID: 30515089 (2018).
Hegd茅, J., Bart, E., Kersten, D. Fragment-based learning of visual object categories.
Current Biology 18(8):597-601 (2008).
Hegd茅, J. and Van Essen, D.C. A comparative study of form processing in primate visual
areas V4, V2 and V1. Cerebral Cortex 17(5):1100-16. PMID: 16785255 (2007).
