Memristor-based synapse design and a case study in reconfigurable systems

TitleMemristor-based synapse design and a case study in reconfigurable systems
Publication TypeConference Paper
Year of Publication2013
AuthorsF Ji, HH Li, B Wysocki, C Thiem, and N McDonald
Conference NameProceedings of the International Joint Conference on Neural Networks
Date Published12/2013

Scientists have dreamed of an information system with cognitive human-like skills for years. However, constrained by the device characteristics and rapidly increasing design complexity under the traditional processing technology, little progress has been made in hardware implementation. The recently popularized memristor offers a potential breakthrough for neuromorphic computing because of its unique properties including nonvolatily, extremely high fabrication density, and sensitivity to historic voltage/current behavior. In this work, we first investigate the memristor-based synapse design and the corresponding training scheme. Then, a case study of an 8-bit arithmetic logic unit (ALU) design is used to demonstrate the hardware implementation of reconfigurable system built based on memristor synapses. © 2013 IEEE.