中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共42条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Multi-scale full spike pattern for semantic segmentation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 176, 页码: 12
作者:  Su, Qiaoyi;  He, Weihua;  Wei, Xiaobao;  Xu, Bo;  Li, Guoqi
收藏  |  浏览/下载：16/0  |  提交时间：2024/07/04
Spiking neural network  Semantic segmentation  Neuromorphic computing  Deep neural network  Energy efficiency  Brain-inspired computing  
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 1-18
作者:  Hong Qiao;  Ya-Xiong Wu;  Shan-Lin Zhong;  Pei-Jie Yin;  Jia-Hao Chen
Adobe PDF(2207Kb)  |  收藏  |  浏览/下载：79/18  |  提交时间：2024/04/23
Brain-inspired intelligent robot  software and hardware  decision making  muscle control  cognitive intelligence  
Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 456-471
作者:  Kai-Yuan Liu;  Xing-Yu Li;  Yu-Rui Lai;  Hang Su;  Jia-Chen Wang;  Chun-Xu Guo;  Hong Xie;  Ji-Song Guan;  Yi Zhou
Adobe PDF(3203Kb)  |  收藏  |  浏览/下载：58/11  |  提交时间：2024/04/23
Brain-inspired learning  autoencoder  robustness  adversarial attack  generative model  
Towards a New Paradigm for Brain-inspired Computer Vision 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 412-424
作者:  Xiao-Long Zou;  Tie-Jun Huang;  Si Wu
Adobe PDF(1615Kb)  |  收藏  |  浏览/下载：51/11  |  提交时间：2024/04/23
Brain-inspired computer vision  spatio-temporal patterns  object detection  object tracking  object recognition  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
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;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：58/11  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
作者:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：88/32  |  提交时间：2024/04/23
Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12
作者:  Qin, Shijie;  Li, Houcheng;  Cheng, Long
收藏  |  浏览/下载：87/0  |  提交时间：2024/03/27
Adaptive dynamic programming (ADP)  brain-inspired method  muscle synergy  musculoskeletal system  reinforcement learning (RL)  tracking control  
Brain-inspired neural circuit evolution for spiking neural networks 期刊论文
Proceedings of the National Academy of Sciences (PNAS), 2023, 卷号: 120, 期号: 39, 页码: 10
作者:  Shen, Guobin;  Zhao, Dongcheng;  Dong, Yiting;  Zeng, Yi
Adobe PDF(8398Kb)  |  收藏  |  浏览/下载：89/20  |  提交时间：2024/02/21
brain-inspired  neural circuit evolution  spiking neural networks  
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections 期刊论文
Neural Networks, 2023, 卷号: 165, 页码: 799-808
作者:  Dong, Yiting;  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi
Adobe PDF(2202Kb)  |  收藏  |  浏览/下载：127/17  |  提交时间：2023/11/17
Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载：198/19  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure