Professor Rudiyanto Gunawan to lead a National Science Foundation Harnessing the Data Revolution (NSF HDR) Big Idea project

The project is entitled “MEMONET: Understanding memory in neuronal networks through brain-inspired artificial intelligence.” It leverages the data revolution in neuroscience, advanced data analytics and deep learning algorithms, large-scale biochemical modeling, and sophisticated solid-state physics simulations, to harness voluminous biomolecular and activity data of neurons. The overarching goal of the project is to elucidate mechanistic insights into the brain’s learning and memory functions and translate such insights into innovative materials and devices for neuromorphic computing. Learn more on the MEMONET project website. 

The project is expected to shed light on the complex inner workings of the brain, as well as to pave the way for transformative brain-inspired electronic devices for information processing, data storage, computing and decision-making. It is a part of the NSF’s Harnessing the Data Revolution (HDR) Big Idea activity. Collaborators include the University of Alabama, Virginia Polytechnic Institute and State University, University of California, San Diego and the University of Rhode Island.

• Dr. Rudiyanto Gunawan
  Associate Professor in the Department of Chemical and Biological Engineering at University at Buffalo
• Dr. Takaki Komiyama
  Professor of Neurosciences at the University of California San Diego
• Dr. Claudia Mewes
  Associate Professor in the Department of Physics and Astronomy at the University of Alabama - Tuscaloosa
• Dr. Linbing Wang
  Professor in the Department of Civil Engineering at Virginia Tech
• Dr. Ying Zhang 
  Associate Professor in the Department of Cell and Molecular Biology at the University of Rhode Island