Author:
Zhang Fanqing,Li Chunyang,Li Zhongyi,Dong Lixin,Zhao Jing
Abstract
AbstractSynapses 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.
Funder
National Natural Science Foundation of China
National Key R&D program of China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Condensed Matter Physics,Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics
Reference216 articles.
1. Kim, Y. et al. A bioinspired flexible organic artificial afferent nerve. Science 360, 998–1003 (2018).
2. Eberhardt, et al. In: International Joint Conference on Neural Networks, IJCNN (Institute of Electrical and Electronics Engineers, 1989).
3. Andreou, A. et al. Analog VLSI neuromorphic image acquisition and pre-processing systems. Neural Netw. 8, 1323–1347 (1995).
4. Zhang, Q. et al. Artificial neural networks enabled by nanophotonics. Light Sci. Appl. 8, 42 (2019).
5. Sun, L. et al. Synaptic computation enabled by joule heating of single-layered semiconductors for sound localization. Nano Lett. 18, 3229–3234 (2018).
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