CASIA OpenIR

浏览/检索结果: 共9条,第1-9条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Brainnetome atlas of preadolescent children based on anatomical connectivity profiles 期刊论文
CEREBRAL CORTEX, 2022, 页码: 12
作者:  Li, Wen;  Fan, Lingzhong;  Shi, Weiyang;  Lu, Yuheng;  Li, Jin;  Luo, Na;  Wang, Haiyan;  Chu, Congying;  Ma, Liang;  Song, Ming;  Li, Kaixin;  Cheng, Luqi;  Cao, Long;  Jiang, Tianzi
Adobe PDF(1764Kb)  |  收藏  |  浏览/下载:362/67  |  提交时间:2022/11/14
anatomical connectivity  Brainnetome atlas  development  diffusion magnetic resonance imaging  preadolescent child  
Quantum superposition inspired spiking neural network 期刊论文
ISCIENCE, 2021, 卷号: 24, 期号: 8, 页码: 16
作者:  Sun, Yinqian;  Zeng, Yi;  Zhang, Tielin
Adobe PDF(2756Kb)  |  收藏  |  浏览/下载:221/37  |  提交时间:2021/11/03
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载:260/14  |  提交时间:2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 1300-1304
作者:  Deng, Shuang;  Dong, Qiulei
Adobe PDF(801Kb)  |  收藏  |  浏览/下载:194/29  |  提交时间:2021/08/15
Three-dimensional displays  Feature extraction  Semantics  Computational complexity  Vegetation mapping  Image segmentation  Feeds  3D point cloud  semantic segmentation  global attention  convolutional neural networks  deep learning  
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:  Fang, Hongjian;  Zeng, Yi;  Zhao, Feifei
Adobe PDF(2485Kb)  |  收藏  |  浏览/下载:299/59  |  提交时间:2021/04/06
brain-inspired intelligence  spiking neural network  reward-medulated STDP  population coding  reinforcement learning  
Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm 期刊论文
FRONTIERS IN NEUROINFORMATICS, 2020, 卷号: 14, 页码: 17
作者:  Huangfu, Cunqing;  Zeng, Yi;  Wang, Yuwei
Adobe PDF(4628Kb)  |  收藏  |  浏览/下载:214/47  |  提交时间:2021/01/07
literature analysis  clustering  word embedding  neuroscience  knowledge oganization system  
The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study 期刊论文
TRANSLATIONAL PSYCHIATRY, 2020, 卷号: 10, 期号: 1, 页码: 10
作者:  Qi, Shile;  Bustillo, Juan;  Turner, Jessica A.;  Jiang, Rongtao;  Zhi, Dongmei;  Fu, Zening;  Deramus, Thomas P.;  Vergara, Victor;  Ma, Xiaohong;  Yang, Xiao;  Stevens, Mike;  Zhuo, Chuanjun;  Xu, Yong;  Calhoun, Vince D.;  Sui, Jing
浏览  |  Adobe PDF(2715Kb)  |  收藏  |  浏览/下载:377/59  |  提交时间:2020/06/22
schizophrenia  multimodal fusion  
Multimodal data revealed different neurobiological correlates of intelligence between males and females 期刊论文
BRAIN IMAGING AND BEHAVIOR, 2019, 卷号: 14, 期号: NA, 页码: 1-15
作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Cui, Yue;  Qi, Shile;  Zhuo, Chuanjun;  Li, Jin;  Jung, Rex;  Yang, Jian;  Du, Yuhui;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载:254/78  |  提交时间:2020/06/13
Connectome-based predictive modeling  Gender difference  Individualized prediction  Intelligence quotient  Multimodal  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载:400/65  |  提交时间:2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning