Results 1 to 10 of about 7,767 (117)

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

Nature Communications, 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 ...
Rui Yuan, Qingxi Duan, Pek Jun Tiw, Ge Li, Zhuojian Xiao, Zhaokun Jing, Ke Yang, Chang Liu, Chen Ge, Ru Huang, Yuchao Yang   +10 more
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A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface

Nature Communications, 2023
Physiological signal processing plays a key role in next-generation human-machine interfaces as physiological signals provide rich cognition- and health-related information.
Rui Yuan, Pek Jun Tiw, Lei Cai, Zhiyu Yang, Chang Liu, Teng Zhang, Chen Ge, Ru Huang, Yuchao Yang   +8 more
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Neuromorphic Artificial Vision Systems Based on Reconfigurable Ion‐Modulated Memtransistors

Advanced Intelligent Systems, 2023
Conventional vision systems suffer from lots of data handling between memory and processing units. Inspired by how humans recognize noisy images and the flexible modulation on the timescale of ion dynamics inside an emerging memtransistor, a novel ...
Zhen Yang, Teng Zhang, Keqin Liu, Bingjie Dang, Liying Xu, Yuchao Yang, Ru Huang   +6 more
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An Attention Mechanism‐Based Adaptive Feedback Computing Component by Neuromorphic Ion Gated MoS2 Transistors

Advanced Electronic Materials, 2023
Neuromorphic computing is expected to bridge cognitive behaviors with computing systems in an efficient, expandable, and biologically inspired way.
Chang Liu, Yanghao Wang, Teng Zhang, Rui Yuan, Yuchao Yang   +4 more
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Flash-based content addressable memory with L2 distance for memory-augmented neural network

iScience, 2023
Summary: Memory-augmented neural network (MANN) has received increasing attention as a promising approach to achieve lifelong on-device learning, of which implementation of the explicit memory is vital.
Haozhang Yang, Peng Huang, Ruiyi Li, Nan Tang, Yizhou Zhang, Zheng Zhou, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang   +8 more
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A Compact and High-Performance Hardware Architecture for CRYSTALS-Dilithium

Transactions on Cryptographic Hardware and Embedded Systems, 2021
The lattice-based CRYSTALS-Dilithium scheme is one of the three thirdround digital signature finalists in the National Institute of Standards and Technology Post-Quantum Cryptography Standardization Process.
Cankun Zhao, Neng Zhang, Hanning Wang, Bohan Yang, Wenping Zhu, Zhengdong Li, Min Zhu, Shouyi Yin, Shaojun Wei, Leibo Liu   +9 more
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Adaptive Temperature-Compensation of Charge-Pump PLL–Based MTJ/CMOS for Frequency Stability

IET Circuits, Devices and Systems
The charge pump phase-locked loop (CP-PLL) is a critical component in modern mixed-signal electronics, widely used for clock generation, synchronization, and frequency synthesis in digital and wireless applications.
Chunyu Peng, Jingxue Zhong, Yingxue Sun, Weizhe Tan, Chengxing Dai, Xin Li, Xiulong Wu, Yongliang Zhou   +7 more
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Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration

Nature Communications
Human brain seamlessly integrates multisensory stimuli to synthesize complementary information for enhanced perceptions, depending on neural principles of superadditivity, inverse effectiveness, and temporal congruency.
Shuo Liu, Ligong Zhang, Ruiqing Xie, Zhiyuan Wu, Aojie Chen, Lixia Han, Linbo Shan, Zuoyuan Dong, Junling Liu, Xinrui Guo, Yu Zhu, Zhenghua Zhou, Fei Liu, Linxiao Shen, Peng Huang, Xinran Wang, Zongwei Wang, Yimao Cai, Ming He   +18 more
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A High-Efficiency CNN Accelerator With Mixed Low-Precision Quantization

IET Circuits, Devices and Systems
In the field of hardware accelerators for convolutional neural network (CNN) inference, quantization techniques have been widely employed to enhance the performance.
Xianghong Hu, Jinhui Pan, Yue Ding, Wenji Huang, Zhejun Zheng, Xueming Li, Hongmin Huang, Xiaoming Xiong   +7 more
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VO2 memristor-based frequency converter with in-situ synthesize and mix for wireless internet-of-things

Nature Communications
Wireless internet-of-things (WIoT) with data acquisition sensors are evolving rapidly and the demand for transmission efficiency is growing rapidly.
Chang Liu, Pek Jun Tiw, Teng Zhang, Yanghao Wang, Lei Cai, Rui Yuan, Zelun Pan, Wenshuo Yue, Yaoyu Tao, Yuchao Yang   +9 more
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