终端(电信)
计算机科学
记忆电阻器
纳米技术
材料科学
工程类
电信
电气工程
作者
Fanqing Zhang,Chunyang Li,Zhong‐Yi Li,Lixin Dong,Jing Zhao
标识
DOI:10.1038/s41378-023-00487-2
摘要
Abstract Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for changes in synaptic strength, enabling the brain to learn from experience. With the rapid development of neuromorphic electronics, tremendous efforts have been devoted to designing and fabricating electronic devices that can mimic synapse operating modes. This growing interest in the field will provide unprecedented opportunities for new hardware architectures for artificial intelligence. In this review, we focus on research of three-terminal artificial synapses based on two-dimensional (2D) materials regulated by electrical, optical and mechanical stimulation. In addition, we systematically summarize artificial synapse applications in various sensory systems, including bioplastic bionics, logical transformation, associative learning, image recognition, and multimodal pattern recognition. Finally, the current challenges and future perspectives involving integration, power consumption and functionality are outlined.
科研通智能强力驱动
Strongly Powered by AbleSci AI