Neuromorphic Computing: Designed Memristor Circuit for Self‐Limited Analog Switching and its Application to a Memristive Neural Network (Adv. Electron. Mater. 6/2019). (6th June 2019)

• Record Type: Journal Article
• Authors: Song, Hanchan; Kim, Young Seok; Park, Juseong; Kim, Kyung Min
• Is Part Of: Advanced Electronic Materials. Volume 5:Number 6(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-06-06
• Subjects: analog programming -- memristors -- neuromorphic devices -- self‐limited switching -- stateful logic; Materials -- Electric properties -- Periodicals; Materials science -- Periodicals; Magnetic materials -- Periodicals; Electronic apparatus and appliances -- Periodicals; 537
• DOI: 10.1002/aelm.201970032
• Languages: English
• ISSNs: 2199-160X

Abstract

Abstract : In article number1800740, H. Song et al. propose an analog data‐programming method for memristors via in‐memory operation in a crossbar array. Analog data can be transferred from a selected reference resistor cell to the target memristor cell by appropriate voltage clocking. Such data transfer can be triggered at any location in the array accurately and quickly; optimization of the design gives a characteristic error of just 2.95%. Their method is then applied to program a memristive neural network and the error is confirmed to be negligible, suggesting this setup can be used in neuromorphic computing applications.