首页|Advances in memristor based artificial neuron fabrication-materials,models,and applications

Advances in memristor based artificial neuron fabrication-materials,models,and applications

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Spiking neural network(SNN),widely known as the third-generation neural network,has been frequently investigated due to its excellent spatiotemporal information processing capability,high biological plausibility,and low energy consumption characteristics.Analogous to the working mechanism of human brain,the SNN system transmits information through the spiking action of neurons.Therefore,artificial neurons are critical building blocks for constructing SNN in hardware.Memristors are drawing growing attention due to low consumption,high speed,and nonlinearity characteristics,which are recently introduced to mimic the functions of biological neurons.Researchers have proposed multifarious memristive materials including organic materials,inorganic materials,or even two-dimensional materials.Taking advantage of the unique electrical behavior of these materials,several neuron models are successfully implemented,such as Hodgkin-Huxley model,leaky integrate-and-fire model and integrate-and-fire model.In this review,the recent reports of artificial neurons based on memristive devices are discussed.In addition,we highlight the models and applications through combining artificial neuronal devices with sensors or other electronic devices.Finally,the future challenges and outlooks of memristor-based artificial neurons are discussed,and the development of hardware implementation of brain-like intelligence system based on SNN is also prospected.

artificial neuronmemristormemristive materialsneuron modelmicro-nano manufacturingspiking neural network

Jingyao Bian、Zhiyong Liu、Ye Tao、Zhongqiang Wang、Xiaoning Zhao、Ya Lin、Haiyang Xu、Yichun Liu

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Key Laboratory for UV Light-Emitting Materials and Technology(Northeast Normal University),Ministry of Education,5268 Renmin Street,Changchun,People's Republic of China

Ministry of Science and Technology of ChinaNational Science Fund for Distinguished Young Scholars国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金the'111'Project中央高校基本科研业务费专项中央高校基本科研业务费专项funding from Jilin Provincefunding from Jilin Provincefunding from Jilin Provincefunding from Jilin Provincefunding from Jilin Province

2019YFB220510052025022U19A209162004016517320035207206511974072 5227214052372137B130132412023YQ0042412022QD03620210201062GX20220502002GH20230402072GH20230101017JC20210509045RQ

2024

10.1088/2631-7990/acfcf1

极端制造(英文)

极端制造(英文)

CSTPCDEI
ISSN：
年,卷(期)：2024.6(1)