Neuron Design in Neuromorphic Computing Systems and its Application in Wireless Communications
Abstract
In recent years, the research on neuromorphic computing has made swift progress and development in theoretical study and hardware implementations, but one of the major challenges to its implementation lies in the development of suitable data representation for sensory information in neuronal activities. The objective of this Grant is to develop novel and fundamental methodologies for data representation using hardware spike timing dependent encoding and explore the applications neuromorphic computing in wireless communications. In addition, expand upon neural activities on multiple timescales and encodes the sensory information using temporal scales with nano-devices. The spike encoding methodologies for autonomous classification of time series signatures will be further explored using near chaotic reservoir computing as well as explore the application reservoir computing in wireless communications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 11, 2016
- Source ID
- FA87501510052
Entities
People
- Yi Yang
Organizations
- Rome Laboratory
- United States Air Force
- University of Kansas