中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [15]
重庆绿色智能技术研究... [1]
采集方式
OAI收割 [16]
内容类型
期刊论文 [15]
会议论文 [1]
发表日期
2024 [1]
2023 [1]
2022 [5]
2021 [1]
2020 [3]
2019 [1]
更多
学科主题
筛选
浏览/检索结果:
共16条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse
期刊论文
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12
作者:
Qin, Shijie
;
Li, Houcheng
;
Cheng, Long
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/03/27
Adaptive dynamic programming (ADP)
brain-inspired method
muscle synergy
musculoskeletal system
reinforcement learning (RL)
tracking control
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:30/0
  |  
提交时间:2023/11/17
Spiking neural network
Unsupervised
Plasticity learning rule
Brain inspired connection
A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle(Vol 12, 56, 2022)
期刊论文
OAI收割
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 1
作者:
Zhao, Feifei
;
Zeng, Yi
;
Xu, Bo
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2023/02/22
spiking neural network
brain-inspired decision-making
dopamine regulation
multiple brain areas coordination
reinforcement learning
UAV autonomous learning
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization
期刊论文
OAI收割
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:
Sun, Yinqian
;
Zeng, Yi
;
Li, Yang
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/11/14
brain-inspired decision model
SDQN
reinforcement learning
potential normalization
spiking activity
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:28/0
  |  
提交时间:2022/07/25
concept learning
multisensory
spiking neural networks
brain-inspired
Independent Merge
Associate Merge
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/23
Neural decoding
machine learning
deep learning
visual decoding
brain-inspired vision
Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/04/23
Brain-inspired learning
autoencoder
robustness
adversarial attack
generative model
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP
期刊论文
OAI收割
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:
Fang, Hongjian
;
Zeng, Yi
;
Zhao, Feifei
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/04/06
brain-inspired intelligence
spiking neural network
reward-medulated STDP
population coding
reinforcement learning
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction
期刊论文
OAI收割
COGNITIVE COMPUTATION, 2020, 页码: 13
作者:
Zhang, Tielin
;
Zeng, Yi
;
Pan, Ruihan
;
Shi, Mengting
;
Lu, Enmeng
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/08/24
Brain-inspired architecture
Procedural knowledge
Deep neural network
Reinforcement learning
Knowledge graph
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction
期刊论文
OAI收割
COGNITIVE COMPUTATION, 2020, 页码: 13
作者:
Zhang, Tielin
;
Zeng, Yi
;
Pan, Ruihan
;
Shi, Mengting
;
Lu, Enmeng
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/08/21
Brain-inspired architecture
Procedural knowledge
Deep neural network
Reinforcement learning
Knowledge graph