Jay Hegde, PhD    

                                                                                                   
Associate Professor, Department of Neuroscience & Regenerative Medicine

jhpic

Mailing Address:
Department of Neuroscience & Regenerative Medicine
1120 15th Street, Rm. CB2606
Medical College of Georgia at Augusta University
Augusta, GA 30912

Office phone:  (706)721-5129  /  Email:  jhegde@augusta.edu

Education:
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

hegdebrain

 

Regions in the human brain that are differentially responsive
during successful camouflage-breaking

 
Current projects:
Neural mechanisms of camouflage-breaking
Perception of complex visual Images, including medical images
Multisensory perception and learning      

Lab members:
Fallon Branch, MS

Selected publications:

  1. Bart, E. and Jay Hegdé, 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.
  2. Hegdé, J. Neural Mechanisms of High-Level Vision. Compr Physiol. 8:3. doi: 10.1002/cphy.c160035.(2018).
  3. Bart, E. and Hegdé, 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).
  4. Hegdé, J., Bart, E., Kersten, D. Fragment-based learning of visual object categories. Current Biology 18(8):597-601 (2008).
  5. Hegdé, 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).