Principal Investigator: Juan Nino
Sponsor: National Science Foundation
Start Date: August 1, 2017
End Date: July 31, 2020
The human brain is currently the most powerful information processor known to man. Recent advances in neural networks and network science indicate that in order to match the power and efficiency of the brain, there is a need for a brand-new type of neuromorphic hardware that is able to connect physically independent neurons with dedicated, modifiable synapses. The PI and coworkers have developed a brain-inspired concept where, preliminary theoretical and experimental results show that a mat of memristive nanofibers is anticipated to yield neural networks with enhanced connectivity, functionality, and overall performance. This project aims at assessing the potential of this concept and it is guided by the overarching fundamental question can these brain-inspired memristive nanofiber neural network (MN3) architectures be effectively used for advanced neuromorphic computing.