机构

• 自动化研究所 [53]
• 计算技术研究所 [3]
• 沈阳自动化研究所 [3]
• 数学与系统科学研究院 [2]
• 心理研究所 [2]
• 新疆理化技术研究所 [1]
• 更多

采集方式

• OAI收割 [65]
• iSwitch采集 [1]

内容类型

• 期刊论文 [54]
• 会议论文 [11]
• 学位论文 [1]

发表日期

• 2024 [2]
• 2023 [10]
• 2022 [15]
• 2021 [12]
• 2020 [3]
• 2019 [6]
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学科主题

• Behavioral... [1]
• 类脑智能 [1]

筛选

浏览/检索结果: 共66条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks 期刊论文  OAI收割 NEURAL NETWORKS, 2024, 卷号: 170, 页码: 190-201 作者:  Shen, Guobin;  Zhao, Dongcheng;  Zeng, Yi   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/02/22 Dendritic Nonlinearity  Dendritic Spatial Gating Module  Dendritic Temporal Adjust Module  Spiking Neural Networks   Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics 期刊论文  OAI收割 NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 20 作者:  Zheng, Hanle;  Zheng, Zhong;  Hu, Rui;  Xiao, Bo;  Wu, Yujie   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/21 MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification 期刊论文  OAI收割 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 12, 页码: 5767-5778 作者:  Miao, Yifan;  Jiang, Wanqing;  Su, Nuo;  Shan, Jun;  Jiang, Tianzi   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/26 Electroencephalography  Feature extraction  Task analysis  Support vector machines  Recording  Motion pictures  Brain modeling  EEG  biometric  across mental states  across time  deep learning  domain adaptation   Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 13 作者:  Pan, Wenxuan;  Zhao, Feifei;  Zeng, Yi;  Han, Bing   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 Brain-inspired neural circuit evolution for spiking neural networks 期刊论文  OAI收割 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 卷号: 120, 期号: 39, 页码: 10 作者:  Shen, Guobin;  Zhao, Dongcheng;  Dong, Yiting;  Zeng, Yi   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/21 brain-inspired  neural circuit evolution  spiking neural networks   Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 166, 页码: 410-423 作者:  Yao, Man;  Zhang, Hengyu;  Zhao, Guangshe;  Zhang, Xiyu;  Wang, Dingheng   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/11/16 Spiking neural network  Event-based vision  Neuromorphic computing  Attention mechanism  Brain-inspired computing   BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI 期刊论文  OAI收割 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169 作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/12/21 Alzheimer's disease (AD)  cognitive assessment  convolutional neural networks (CNNs)  graph neural networks  structural magnetic resonance imaging (sMRI)   Attention Spiking Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9393-9410 作者:  Yao, Man;  Zhao, Guangshe;  Zhang, Hengyu;  Hu, Yifan;  Deng, Lei   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Attention mechanism  efficient neuromorphic inference  neuromorphic computing  spiking neural network   A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost 期刊论文  OAI收割 SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 34, 页码: 12 作者:  Zhang, Tielin;  Cheng, Xiang;  Jia, Shuncheng;  Li, Chengyu T.;  Poo, Mu-ming   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/11/17 An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 165, 页码: 799-808 作者:  Dong, Yiting;  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/17 Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection