A Bifunctional Memristor Enables Multiple Neuromorphic Computing Applications
Author:
Affiliation:
1. Department of Applied Physics The Hong Kong Polytechnic University Hong Kong China
2. College of Physics Chongqing University Chongqing 401331 P.R. China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Wiley
Subject
Electronic, Optical and Magnetic Materials
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aelm.202101235
Reference31 articles.
1. Everything You Wish to Know About Memristors But Are Afraid to Ask
2. Emerging Artificial Synaptic Devices for Neuromorphic Computing
3. Perspective: A review on memristive hardware for neuromorphic computation
4. Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
5. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
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