SPIKING

作品数：66被引量：93H指数：4
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Electropolymerized dopamine-based memristors using threshold switching behaviors for artificial current-activated spiking neurons被引量：1
《Journal of Semiconductors》2025年第2期98-103,共6页Bowen Zhong Xiaokun Qin Zhexin Li Yiqiang Zheng Lingchen Liu Zheng Lou Lili Wang 
support from the Beijing Natural Science Foundation-Xiaomi Innovation Joint Fund(No.L233009);National Natural Science Foundation of China(NSFC Nos.62422409,62174152,and 62374159);from the Youth Innovation Promotion Association of Chinese Academy of Sciences(No.2020115).
Memristors have a synapse-like two-terminal structure and electrical properties,which are widely used in the construc-tion of artificial synapses.However,compared to inorganic materials,organic materials are rarely us...
关键词：ELECTROPOLYMERIZATION POLYDOPAMINE MEMRISTOR threshold switching spiking voltage artificial neuron 
基于策略融合及Spiking DRL的移动机器人路径规划方法
《计算机科学》2024年第S02期59-69,共11页安阳 王秀青 赵明华 
国家自然科学基金面上项目(61673160,61175059);河北省自然科学基金(F2018205102);河北省高等学校科学技术研究重点项目(ZD2021063)
深度强化学习(DRL)已被成功应用于移动机器人路径规划中,基于DRL的移动机器人路径规划算法适用于高维环境,是实现移动机器人自主学习的重要方法。而训练DRL模型需要大量的环境交互经验,这意味着更高的计算成本。此外,DRL算法的经验池容...
关键词：深度强化学习 脉冲神经网络 卷积神经网络 迁移学习 移动机器人路径规划 
Tuning Synaptic Connections Instead of Weights by Genetic Algorithm in Spiking Policy Network
《Machine Intelligence Research》2024年第5期906-918,共13页Duzhen Zhang Tielin Zhang Shuncheng Jia Qingyu Wang Bo Xu 
supported by the Beijing Nova Program,China(No.20230484369);the Strategic Priority Research Program of Chinese Academy of Sciences,China(No.XDA27010404);the Shanghai Municipal Science and Technology Major Project,China(No.2021SHZDZX),the Youth Innovation Promotion Association of the Chinese Academy of Sciences,China.
Learning from interaction is the primary way that biological agents acquire knowledge about their environment and themselves.Modern deep reinforcement learning(DRL)explores a computational approach to learning from in...
关键词：Spiking neural networks genetic evolution bio-inspired learning agent&cognitive architectures robotic control 
SpikingMiniLM:energy-efficient spiking transformer for natural language understanding
《Science China(Information Sciences)》2024年第10期111-124,共14页Jiayu ZHANG Jiangrong SHEN Zeke WANG Qinghai GUO Rui YAN Gang PAN Huajin TANG 
supported by National Natural Science Foundation of China(Grant Nos.62236007,62306274,61925603);Huawei and Zhejiang University Brain-Inspired Computing Joint Innovation Research Project(Grant No.FA2019111021-2023-01)。
In the era of large-scale pretrained models,artificial neural networks(ANNs)have excelled in natural language understanding(NLU)tasks.However,their success often necessitates substantial computational resources and en...
关键词：spiking neural networks natural language understanding spiking Transformer spike-based attention multi-step encoding ANN-to-SNN distillation 
Brain-inspired chaotic spiking backpropagation
《National Science Review》2024年第6期162-172,共11页Zijian Wang Peng Tao Luonan Chen 
supported by the National Natural Science Foundation of China(T2350003,T2341007,12131020 and 31930022);the Special Fund for Science and Technology Innovation Strategy of Guangdong Province(2021B0909050004 and 2021B0909060002);the National Key R&D Program of China(2022YFA1004800);the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB38040400);JST MoonshotR&D(JPMJMS2021).
Spiking neural networks (SNNs) have superior energy efficiency due to their spiking signal transmission,which mimics biological nervous systems, but they are difficult to train effectively. Although surrogategradient-...
关键词：spiking neural networks surrogate gradient local minima backpropagation brain-inspired learning CHAOS 
A chaotic spiking backpropagation approach to brain learning
《National Science Review》2024年第6期76-77,共2页Guanrong Chen 
Spiking neural networks(SNNs)[1]are known for their superior energy efficiency,achieved through spiking signal transmission that mirrors biological nervous systems,thus solving the unsustainable energy-consumption pro...
关键词：NETWORKS NEURAL CHAOTIC 
Cost-effective and high-speed implementation of brain-like spiking neural network with encoding architectures on FPGA
《Chain》2024年第2期167-176,共10页Zhen Cao Ziyi Zhang Qi Sun Biao Hou Licheng Jiao Yintang Yang 
supported in part by the National Natural Science Foundation of China(Nos.62104176 and 62171347);in part by the Fundamental Research Funds for the Central Universities(No.XJSJ23083);in part by the Proof of Concept Foundation of Xidian University Hangzhou Institute of Technology(No.GNYZ2023XJ0409-1);in part by the Shaanxi Higher Education Teaching Reform Research Project(No.23ZZ014);in part by the China Postdoctoral Science Foundation(No.2019M663637).
The spiking neural network(SNN)is the third generation of neural networks,valued for its biological interpretability,hardware compatibility,and low power consumption.While field programmable gate array(FPGA),based SNN...
关键词：SNN accelerator FPGA spiking encoding low-power neuromorphic computing 
Long Short-Term Memory Spiking Neural Networks for Classification of Snoring and Non-snoring Sound Events
《Chinese Journal of Electronics》2024年第3期793-802,共10页Rulin ZHANG Ruixue LI Jiakai LIANG Keqiang YUE Wenjun LI Yilin LI 
supported by the Zhejiang Key Research and Development Project (Grant No.2022C01048);the Zhejiang Province Public Welfare Project (Grant No.LGG22F010012)。
Snoring is a widespread occurrence that impacts human sleep quality.It is also one of the earliest symptoms of many sleep disorders.Snoring is accurately detected,making further screening and diagnosis of sleep proble...
关键词：Snoring detect Mel frequency cepstral coefficients Spiking encoding Long short-term memory spiking neural networks Backpropagation based on alternative gradient 
Local field potentials,spiking activity,and receptive fields in human visual cortex
《Science China(Life Sciences)》2024年第3期543-554,共12页Lu Luo Xiongfei Wang Junshi Lu Guanpeng Chen Guoming Luan Wu Li Qian Wang Fang Fang 
supported by the National Science and Technology Innovation 2030 Major Program(2022ZD0204802,2022ZD0204804);the National Natural Science Foundation of China(31930053,32171039);Beijing Academy of Artificial Intelligence(BAAI)。
The concept of receptive field(RF) is central to sensory neuroscience. Neuronal RF properties have been substantially studied in animals,while those in humans remain nearly unexplored. Here, we measured neuronal RFs w...
关键词：human visual cortex receptive field intracranial EEG local field potential spiking activity 
Accurate and efficient floor localization with scalable spiking graph neural networks被引量：1
《Satellite Navigation》2024年第1期191-206,共16页Fuqiang Gu Fangming Guo Fangwen Yu Xianlei Long Chao Chen Kai Liu Xuke Hu Jianga Shang Songtao Guo 
supported by the National Natural Science Foundation of China(No.42174050,62172066,62172064,62322601);National Science Foundation for Excellent Young Scholars(No.62322601);Open Research Projects of Zhejiang Lab(No.K2022NB0AB07);Venture&Innovation Support Program for Chongqing Overseas Returnees(No.cx2021047);Chongqing Startup Project for Doctorate Scholars(No.CSTB2022BSXM-JSX005);Excellent Youth Foundation of Chongqing(No.CSTB2023NSCQJQX0025);China Postdoctoral Science Foundation(No.2023M740402);Fundamental Research Funds for the Central Universities(No.2023CDJXY-038,2023CDJXY-039).
Floor localization is crucial for various applications such as emergency response and rescue,indoor positioning,and recommender systems.The existing floor localization systems have many drawbacks,like low accuracy,poo...
关键词：Indoor positioning Deep learning Floor localization Spiking neural networks Graph neural networks 
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