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Individualized brain mapping for navigated neuromodulation 期刊论文
Chinese Medical Journal, 2024, 卷号: 137, 期号: 5, 页码: 508-523
作者:  Chaohong Gao;  Xia Wu;  Xinle Cheng;  Kristoffer Hougaard Madsen;  Congying Chu;  Zhengyi Yang;  Lingzhong Fan
Adobe PDF(6810Kb)  |  收藏  |  浏览/下载：6/4  |  提交时间：2024/05/28
Exploring the brain-like properties of deep neural networks: a neural encoding perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:  Qiongyi Zhou;  Changde Du;  Huiguang He
Adobe PDF(6004Kb)  |  收藏  |  浏览/下载：183/40  |  提交时间：2023/01/17
Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes 期刊论文
BMC Bioinformatics, 2022, 卷号: 23, 期号: 1, 页码: 23
作者:  Hong,Bei;  Liu,Jing;  Zhai,Hao;  Liu,Jiazheng;  Shen,Lijun;  Chen,Xi;  Xie,Qiwei;  Han,Hua
Adobe PDF(3091Kb)  |  收藏  |  浏览/下载：322/78  |  提交时间：2022/11/14
Connectomics  Reconstruction  Connectivity concept  Joint optimization  Electron microscope volumes  
An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume 期刊论文
Biomedical Signal Processing and Control, 2021, 卷号: 69, 期号: 无, 页码: 102829
作者:  Liu, Jing;  Hong, Bei;  Chen, Xi;  Xie, Qiwei;  Tang, Yuanyan;  Han, Hua
Adobe PDF(14559Kb)  |  收藏  |  浏览/下载：244/35  |  提交时间：2022/01/12
Neuron tracing  Electron microscopy  Deep learning  Convolutional LSTM  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：411/71  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2020, 卷号: 14, 页码: 12
作者:  Zhao, Dongcheng;  Zeng, Yi;  Zhang, Tielin;  Shi, Mengting;  Zhao, Feifei
Adobe PDF(3174Kb)  |  收藏  |  浏览/下载：301/45  |  提交时间：2021/01/06
SNN  plasticity  brain  local STDP  global feedback alignment  
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:  Wang, Mingliang;  Lian, Chunfeng;  Yao, Dongren;  Zhang, Daoqiang;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(5624Kb)  |  收藏  |  浏览/下载：292/59  |  提交时间：2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI  
Predicting Individualized Clinical Measures by a Generalized Prediction Framework and Multimodal Fusion of MRI Data 期刊论文
NEUROIMAGE, 2017, 期号: 145, 页码: 218-229
作者:  Meng, Xing;  Jiang, Rongtao;  Lin, Dongdong;  Bustillo, Juan;  Jones, Thomas;  Chen, Jiayu;  Yu, Qingbao;  Du, Yuhui;  Zhang, Yu;  Jiang, Tianzi;  Sui, Jing;  Calhoun, Vince D.
浏览  |  Adobe PDF(1031Kb)  |  收藏  |  浏览/下载：281/97  |  提交时间：2020/06/15
Individualized prediction  Multimodal  MATRICS Consensus Cognitive Battery (MCCB)  Schizophrenia  MRI  Neuromarker  
Effective automated pipeline for 3D reconstruction of synapses based on deep learning 期刊论文
BMC Bioinformatics, 2018, 卷号: 19, 期号: 1, 页码: 263
作者:  Xiao, Chi;  Li, Weifu;  Deng, Hao;  Chen, Xi;  Yang, Yang;  Xie, QiWei;  Han, Hua
浏览  |  Adobe PDF(7961Kb)  |  收藏  |  浏览/下载：331/102  |  提交时间：2019/05/06
Electron Microscope, Synapse Detection, Deep Learning, Synapse Segmentation, 3d Reconstruction Of Synapses  
Multi-Scale Expressions of One Optimal State Regulated by Dopamine in the Prefrontal Cortex 期刊论文
Frontiers in physiology, 2019, 卷号: 10, 期号: 113, 页码: 3389
作者:  Guyue Hu;  Xuhui Huang;  Tianzi Jiang;  Shan Yu
Adobe PDF(3183Kb)  |  收藏  |  浏览/下载：259/40  |  提交时间：2019/04/08
Optimal States  E/I Balance  Dopamine  The PFC  Working Memory  Criticality