Výsledky vyhledávání

Akademický článek

A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system

Autor: Rui Yuan, Qingxi Duan, Pek Jun Tiw, Ge Li, Zhuojian Xiao, Zhaokun Jing, Ke Yang, Chang Liu, Chen Ge, Ru Huang, Yuchao Yang

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)

A highly efficient hardware element capable of sensing and encoding multiple physical signals is still lacking. Here, the authors report a spike-based neuromorphic perception system consisting of tunable and highly uniform artificial sensory neurons

Externí odkaz: https://doaj.org/article/6350822bf8e04a95b54a65f6548d9036

Zobrazit plný text záznamu

Akademický článek

Artificial Multisensory Neurons with Fused Haptic and Temperature Perception for Multimodal In‐Sensor Computing

Autor: Qingxi Duan, Teng Zhang, Chang Liu, Rui Yuan, Ge Li, Pek Jun Tiw, Ke Yang, Chen Ge, Yuchao Yang, Ru Huang

Publikováno v: Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)

The human receives and transmits various information from the outside world through different sensory systems. The sensory neurons integrate various sensory inputs into a synthetical perception to monitor complex environments, and this fundamentally

Externí odkaz: https://doaj.org/article/e9da3e70d29440278833cbe49d97c49a

Zobrazit plný text záznamu

Akademický článek

Vertical‐organic‐nanocrystal‐arrays for crossbar memristors with tuning switching dynamics toward neuromorphic computing

Autor: Fangxu Yang, Lingjie Sun, Qingxi Duan, Huanli Dong, Zhaokun Jing, Yuchao Yang, Rongjin Li, Xiaotao Zhang, Wenping Hu, Leon Chua

Publikováno v: SmartMat, Vol 2, Iss 1, Pp 99-108 (2021)

Abstract Memristors proposed by Leon Chua provide a new type of memory device for novel neuromorphic computing applications. However, the approaching of distinct multi‐intermediate states for tunable switching dynamics, the controlling of conductin

Externí odkaz: https://doaj.org/article/02ddb3f1e96f443cbea460405466d6de

Zobrazit plný text záznamu

Akademický článek

Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks

Autor: Qingxi Duan, Zhaokun Jing, Xiaolong Zou, Yanghao Wang, Ke Yang, Teng Zhang, Si Wu, Ru Huang, Yuchao Yang

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)

Designing energy efficient and scalable artificial networks for neuromorphic computing remains a challenge. Here, the authors demonstrate online learning in a monolithically integrated 4 × 4 fully memristive neural network consisting of volatile NbO

Externí odkaz: https://doaj.org/article/500aa3c61def49a49934f77da350f567

Zobrazit plný text záznamu

Akademický článek

Coordinated Control of a Wind-Methanol-Fuel Cell System with Hydrogen Storage

Autor: Tiejiang Yuan, Qingxi Duan, Xiangping Chen, Xufeng Yuan, Wenping Cao, Juan Hu, Quanmin Zhu

Publikováno v: Energies, Vol 10, Iss 12, p 2053 (2017)

This paper presents a wind-methanol-fuel cell system with hydrogen storage. It can manage various energy flow to provide stable wind power supply, produce constant methanol, and reduce CO2 emissions. Firstly, this study establishes the theoretical ba

Externí odkaz: https://doaj.org/article/78f8944f202446a09fe37f9c62bb5993

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání