光电忆阻器用于突触仿生领域的研究进展

doi:10.11896/cldb.22060027

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Abstract The traditional computing model has been unable to meet the needs of big data processing in the era of information explosion. Therefore, neuromorphic computing based on neural networks is widely used in artificial intelligence research to address those needs. With the advancements in integration technology, there has been an increased focus on the development of new hardware systems. The memristor, which is the fourth fundamental circuit element in addition to capacitors, inductors, and resistors, combines the benefits of optoelectronics, semiconductor science, and other fields, and can present novel opportunities for the hardware used in the field of neuromorphic computing. In this paper, the fundamental concepts of optoelectronic memristors and functions of biological synapses, including pulse-time-dependent plasticity, are presented. In addition, four categories of optoelectronic and fully optical memristors are studied. Subsequently, the brain-like properties of optoelectronic memristors are discussed, including associative learning, non-associative learning, and experiential learning. Associative learning simulates Pavlov’s classic experiment and taste aversion, while non-associative learning comprises habituation and sensitization. Moreover, image memorization, image processing, and pattern recognition based on memristor devices have been realized using artificial neural networks. Finally, the challenges and prospects for synaptic bionics and neuromorphic computing are summarized.

Key words： optoelectronic memristor biological synapse brain-like property artificial neural network

Published: 25 February 2024 Online: 2024-03-01

CLC number:

TN361

Fund:Xuzhou Basic Research Project (KC22007).

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	LIU Jing
	ZHANG Jian
	ZHAO Bo

Cite this article:

LIU Jing,ZHANG Jian,ZHAO Bo. Progress in the Use of Optoelectronic Memristors for Synaptic Bionics[J]. Materials Reports, 2024, 38(4): 22060027-10.

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https://www.mater-rep.com/EN/10.11896/cldb.22060027 OR https://www.mater-rep.com/EN/Y2024/V38/I4/22060027

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