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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
收藏  |  浏览/下载：57/0  |  提交时间：2023/11/17
Spiking neural network  Unsupervised  Plasticity learning rule  Brain inspired connection  
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning 期刊论文
SCIENTIFIC DATA, 2022, 卷号: 9, 期号: 1, 页码: 9
作者:  Li, Yang;  Dong, Yiting;  Zhao, Dongcheng;  Zeng, Yi
收藏  |  浏览/下载：112/0  |  提交时间：2023/03/20
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 13
作者:  Li, Yang;  Zhao, Dongcheng;  Zeng, Yi
收藏  |  浏览/下载：198/0  |  提交时间：2022/11/21
spiking neural network  bistability  neuromorphic computing  image classification  conversion  
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:  Sun, Yinqian;  Zeng, Yi;  Li, Yang
Adobe PDF(1561Kb)  |  收藏  |  浏览/下载：207/30  |  提交时间：2022/11/14
brain-inspired decision model  SDQN  reinforcement learning  potential normalization  spiking activity  
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 610, 页码: 1-13
作者:  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi;  Wang, Jihang;  Zhang, Qian
收藏  |  浏览/下载：166/0  |  提交时间：2022/11/14
Spiking Neural Network  Capsual Neural Netowrk  Biologically Plausible Routing  Noise Robustness  Affine Transformation Robustness  
Uncovering the genetic profiles underlying the intrinsic organization of the human cerebellum 期刊论文
MOLECULAR PSYCHIATRY, 2022, 页码: 16
作者:  Wang, Yaping;  Chai, Lin;  Chu, Congying;  Li, Deying;  Gao, Chaohong;  Wu, Xia;  Yang, Zhengyi;  Zhang, Yu;  Xu, Junhai;  Nyengaard, Jens Randel;  Eickhoff, Simon B.;  Liu, Bing;  Madsen, Kristoffer Hougaard;  Jiang, Tianzi;  Fan, Lingzhong
收藏  |  浏览/下载：219/0  |  提交时间：2022/06/06
Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain 期刊论文
Science Bulletin, 2021, 卷号: 66, 期号: 无, 页码: 无
作者:  Hua, Jiaojiao;  Yang, Zhengyi;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：212/48  |  提交时间：2021/06/17
Gene-gene interaction  Co-expression  Structural networkFunctional network  Functional network  Higher-order interactions  
Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets 期刊论文
CORTEX, 2020, 卷号: 129, 页码: 390-405
作者:  Dou, Xuejiao;  Yao, Hongxiang;  Feng, Feng;  Wang, Pan;  Zhou, Bo;  Jin, Dan;  Yang, Zhengyi;  Li, Jin;  Zhao, Cui;  Wang, Luning;  An, Ningyu;  Liu, Bing;  Zhang, Xi;  Liu, Yong
收藏  |  浏览/下载：216/0  |  提交时间：2020/08/31
Alzheimer's disease  Diffusion-weighted MRI  Tract-specific analysis  White matter  Support vector machine  
MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain 期刊论文
FRONTIERS IN NEUROINFORMATICS, 2020, 卷号: 14, 页码: 15
作者:  He, Bin;  Yang, Zhengyi;  Fan, Lingzhong;  Gao, Bin;  Li, Hai;  Ye, Chuyang;  You, Bo;  Jiang, Tianzi
收藏  |  浏览/下载：225/0  |  提交时间：2020/06/22
parcellation  brain atlas  neuroimaging pipeline  diffusion tractography  parallel computing  
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：387/63  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning