首站-论文投稿智能助手
典型文献
Understanding the mechanisms of brain functions from the angle of synchronization and complex network
文献摘要:
The human brain is the most complicated and fascinated system and exe-cutes various important brain functions,but its underlying mechanism is a long-standing problem.In recent years,based on the progress of com-plex network science,much attention has been paid to this problem and many important results have been achieved,thus it is the time to make a summary to help further studies.For this purpose,we here make a brief but comprehensive review on those results from the aspect of brain net-works,i.e.,from the angle of synchronization and complex network.First,we briefly discuss the main features of human brain and its cognitive func-tions through synchronization.Then,we discuss how to construct both the anatomical and functional brain networks,including the pathological brain networks such as epilepsy and Alzheimer's diseases.Next,we discuss the approaches of studying brain networks.After that,we discuss the current progress of understanding the mechanisms of brain functions,including the aspects of chimera state,remote synchronization,explosive synchronization,intelligence quotient,and remote propagation.Finally,we make a brief discussion on the envision of future study.
文献关键词:
作者姓名:
Tianwei Wu;Xinhua Zhang;Zonghua Liu
作者机构:
School of Physics and Electronic Science,East China Normal University,Shanghai 200241,China;Jinhua Middle School,Shanghai 200333,China
文献出处:
引用格式:
[1]Tianwei Wu;Xinhua Zhang;Zonghua Liu-.Understanding the mechanisms of brain functions from the angle of synchronization and complex network)[J].物理学前沿,2022(03):165-187
A类:
B类:
Understanding,mechanisms,brain,functions,from,angle,synchronization,complex,human,most,complicated,fascinated,system,exe,cutes,various,important,but,its,underlying,long,problem,In,recent,years,progress,science,much,attention,has,been,paid,this,many,results,have,achieved,thus,make,summary,help,further,studies,For,purpose,we,here,comprehensive,review,those,First,briefly,main,features,cognitive,through,Then,how,construct,both,anatomical,functional,networks,including,pathological,such,epilepsy,Alzheimer,diseases,Next,approaches,studying,After,that,current,understanding,aspects,chimera,state,remote,explosive,intelligence,quotient,propagation,Finally,discussion,envision,future
AB值:
0.524501
相似文献
Harvesting random embedding for high-frequency change-point detection in temporal complex systems
Jia-Wen Hou;Huan-Fei Ma;Dake He;Jie Sun;Qing Nie;Wei Lin-Research Institute of Intelligent Complex Systems,Fudan University,Shanghai 200433,China;Centre for Computational Systems Biology,Institute of Science and Technology for Brain-Inspired Intelligence,Fudan University,Shanghai 200433,China;School of Mathematical Sciences,Soochow University,Suzhou 215006,China;Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200092,China;School of Mathematical Sciences and Shanghai Center for Mathematical Sciences,Fudan University,Shanghai 200433,China;Department of Mathematics,Department of Developmental and Cell Biology,and NSF-Simons Center for Multiscale Cell Fate Research,University of California,Irvine,CA 92697-3875,USA;Shanghai Key Laboratory for Contemporary Applied Mathematics,LNMS(Fudan University),and LCNBI(Fudan University),Shanghai 200433,China;State Key Laboratory of Medical Neurobiology,and MOE Frontiers Center for Brain Science,Institutes of Brain Science,Fudan University,Shanghai 200032,China
Continuous subcellular resolution three-dimensional imaging on intact macaque brain
Can Zhou;Xiaoquan Yang;Shihao Wu;Qiuyuan Zhong;Ting Luo;Anan Li;Guangcai Liu;Qingtao Sun;Pan Luo;Lei Deng;Hong Ni;Chaozhen Tan;Jing Yuan;Qingming Luo;Xintian Hu;Xiangning Li;Hui Gong-Britton Chance Center for Biomedical Photonics,Wuhan National Laboratory for Optoelectronics,MoE Key Laboratory for Biomedical Photonics,Huazhong University of Science and Technology,Wuhan 430074,China;HUST-Suzhou Institute for Brainsmatics,JITRI,Suzhou 215123,China;Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming 650223, China;Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province,Kunming Institute of Zoology,Kunming 650223,China;CAS Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Shanghai 200031,China;UST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215123, China;Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China;HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou 215123, China;CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
Development of functional connectome gradients during childhood and adolescence
Yunman Xia;Mingrui Xia;Jin Liu;Xuhong Liao;Tianyuan Lei;Xinyu Liang;Tengda Zhao;Ziyi Shi;Lianglong Sun;Xiaodan Chen;Weiwei Men;Yanpei Wang;Zhiying Pan;Jie Luo;Siya Peng;Menglu Chen;Lei Hao;Shuping Tang;Jia-Hong Gao;Shaozheng Qin;Gaolang Gong;Sha Tao;Qi Dong;Yong He-State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing 100875,China;Beijing Key Laboratory of Brain Imaging and Connectomics,Beijing Normal University,Beijing 100875,China;IDG/McGovernn Institute for Brain Research,Beijing Normal University,Beijing 100875,China;School of Systems Science,Beijing Normal University,Beijing 100875,China;Center for MRI Research,Academy for Advanced Interdisciplinary Studies,Peking University,Beijing 100871,China;Beijing City Key Laboratory for Medical Physics and Engineering,Institute of Heavy Ion Physics,School of Physics,Peking University,Beijing 100871,China;Beijing Huilongguan Hospital,Peking University Huilongguan Clinical Medical School,Beijing 100096,China;IDG/McGovern Institute for Brain Research,Peking University,Beijing 100871,China;Chinese Institute for Brain Research,Beijing 102206,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。