Emerging memristive neurons for neuromorphic computing and sensing

• Published in: Science and technology of advanced materials Vol. 24; no. 1; p. 2188878
• Main Authors: Li, Zhiyuan, Tang, Wei, Zhang, Beining, Yang, Rui, Miao, Xiangshui
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 31.12.2023; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: artificial neurons; Circuits; Data processing; Dynamic characteristics; Electronic systems; Focus on Materials and Technologies for Memristors and Neuromorphic Devices; Interactive systems; Memory devices; Memristive devices; Nervous system; Neuromorphic computing; neuromorphic sensing; Neurons; Nonlinearity; Review; Spiking; spiking dynamics; Switching; spiking dynamics; neuromorphic sensing; Memristive devices; artificial neurons; neuromorphic computing

Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption. As pivotal components of neuromorphic system, artificial spiking neurons are powerful informat...