机构

• 自动化研究所 [9]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [10]

发表日期

• 2023 [1]
• 2022 [5]
• 2021 [2]
• 2018 [2]

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 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：27/0  |  提交时间：2024/02/21 brain-inspired  neural circuit evolution  spiking neural networks   A brain-inspired intention prediction model and its applications to humanoid robot 期刊论文  OAI收割 FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11 作者:  Zhao, Yuxuan;  Zeng, Yi   |  收藏  |  浏览/下载：47/0  |  提交时间：2022/12/27 human-robot interaction  intention prediction  brain-inspired model  spiking neural networks  humanoid robot   Multisensory Concept Learning Framework Based on Spiking Neural Networks 期刊论文  OAI收割 FRONTIERS IN SYSTEMS NEUROSCIENCE, 2022, 卷号: 16, 页码: 12 作者:  Wang, Yuwei;  Zeng, Yi   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/07/25 concept learning  multisensory  spiking neural networks  brain-inspired  Independent Merge  Associate Merge   A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15 作者:  Xing, Dengpeng;  Yang, Yiming;  Zhang, Tielin;  Xu, Bo   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/06/10 Task analysis  Robots  Force  Planning  Mathematical models  Brain modeling  Biology  Brain-inspired structure  precision physical interaction  spiking neural networks (SNNs)   Brain-Inspired Fast Saliency-Based Filtering Algorithm for Ship Detection in High-Resolution SAR Images 期刊论文  OAI收割 IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60, 页码: 1-9 作者:  Zhang PP(张盼盼);  Luo HB(罗海波);  Ju MR(鞠默然);  He M(何淼);  Chang Z(常铮)   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/02/27 Brain-inspired  deep neural networks (DNNs)  Fast Saliency-based Filtering algorithm (FSF)  filtering mechanisms  priority map  saliency map   Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411 作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/04/23 Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey   A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12 作者:  Xing, Dengpeng;  Li, Jiale;  Zhang, Tielin;  Xu, Bo   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/01/27 Visualization  Cameras  Planning  Task analysis  Neurons  Collision avoidance  Biology  Brain-inspired structure  collision-free movement planning  small operational space  spiking neural networks (SNNs)   Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 16 作者:  Zhong, Shanlin;  Zhou, Junjie;  Qiao, Hong   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/01/27 Robots  Modulation  Robot kinematics  Neurons  Brain modeling  Recurrent neural networks  Encoding  Biologically inspired control  gain modulation  motor primitives  musculoskeletal robot  recurrent neural network (RNN)   Efficient coding matters in the organization of the early visual system 期刊论文  OAI收割 NEURAL NETWORKS, 2018, 卷号: 105, 页码: 218-226 作者:  Kong, Qingqun;  Han, Jiuqi;  Zeng, Yi;  Xu, Bo   |  收藏  |  浏览/下载：42/0  |  提交时间：2018/10/10 Early Visual Stages  Hierarchical Structure  Efficient Coding  Brain-inspired Neural Networks   Special Issue of BICS 2016 期刊论文  OAI收割 COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 282-283 作者:  Liu, Cheng-Lin;  Hussain, Amir;  Luo, Bin;  Tan, Kay Chen;  Zeng, Yi   |  收藏  |  浏览/下载：39/0  |  提交时间：2018/08/08 Bics  Brain-inspired  Artificial Intelligence  Deep Neural Networks