TY - JOUR
T1 - Recent progress in three-terminal artificial synapses based on 2D materials
T2 - from mechanisms to applications
AU - Zhang, Fanqing
AU - Li, Chunyang
AU - Li, Zhongyi
AU - Dong, Lixin
AU - Zhao, Jing
PY - 2023
Y1 - 2023
N2 - 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. © 2023, The Author(s).
AB - 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. © 2023, The Author(s).
UR - http://www.scopus.com/inward/record.url?scp=85148486791&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85148486791&origin=recordpage
U2 - 10.1038/s41378-023-00487-2
DO - 10.1038/s41378-023-00487-2
M3 - RGC 21 - Publication in refereed journal
C2 - 36817330
SN - 2055-7434
VL - 9
JO - Microsystems and Nanoengineering
JF - Microsystems and Nanoengineering
M1 - 16
ER -