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Peta–electron volt gamma-ray emission from the Crab Nebula 期刊论文
Science, 2021
作者:  The LHAASO Collaboration*†;  Zhen Cao;  F. Aharonian;  Q. An;  Axikegu;  L. X. Bai;  Y. X. Bai;  Y. W. Bao;  D. Bastieri;  X. J. Bi;  Y. J. Bi;  H. Cai;  J. T. Cai;  Zhe Cao;  J. Chang;  J. F. Chang;  B. M. Chen;  E. S. Chen;  J. Chen;  Liang Chen;  Liang Chen;  Long Chen;  M. J. Chen;  M. L. Chen;  Q. H. Chen;  S. H. Chen;  S. Z. Chen;  T. L. Chen;  X. L. Chen;  Y. Chen;  N. Cheng;  Y. D. Cheng;  S. W. Cui;  X. H. Cui;  Y. D. Cui;  B. D’Ettorre Piazzoli;  B. Z. Dai;  H. L. Dai;  Z. G. Dai;  Danzengluobu;  D. della Volpe;  X. J. Dong;  K. K. Duan;  J. H. Fan;  Y. Z. Fan;  Z. X. Fan;  J. Fang;  K. Fang;  C. F. Feng;  L. Feng;  S. H. Feng;  Y. L. Feng;  B. Gao;  C. D. Gao;  L. Q. Gao;  Q. Gao;  W. Gao;  M. M. Ge;  L. S. Geng;  G. H. Gong;  Q. B. Gou;  M. H. Gu;  F. L. Guo;  J. G. Guo;  X. L. Guo;  Y. Q. Guo;  Y. Y. Guo;  Y. A. Han;  H. H. He;  H. N. He;  J. C. He;  S. L. He;  X. B. He;  Y. He;  M. Heller;  Y. K. Hor;  C. Hou;  X. Hou;  H. B. Hu;  S. Hu;  S. C. Hu;  X. J. Hu;  D. H. Huang;  Q. L. Huang;  W. H. Huang;  X. T. Huang;  X. Y. Huang;  Z. C. Huang;  F. Ji;  X. L. Ji;  H. Y. Jia;  K. Jiang;  Z. J. Jiang;  C. Jin;  T. Ke;  D. Kuleshov;  K. Levochkin;  B. B. Li;  Cheng Li;  Cong Li;  F. Li;  H. B. Li;  H. C. Li;  H. Y. Li;  Jian Li;  Jie Li;  K. Li;  W. L. Li;  X. R. Li;  Xin Li;  Xin Li;  Y. Li;  Y. Z. Li;  Zhe Li;  Zhuo Li;  E. W. Liang;  Y. F. Liang;  S. J. Lin;  B. Liu;  C. Liu;  D. Liu;  H. Liu;  H. D. Liu;  J. Liu;  J. L. Liu;  J. S. Liu;  J. Y. Liu;  M. Y. Liu;  R. Y. Liu;  S. M. Liu;  W. Liu;  Y. Liu;  Y. N. Liu;  Z. X. Liu;  W. J. Long;  R. Lu;  H. K. Lv;  B. Q. Ma;  L. L. Ma;  X. H. Ma;  J. R. Mao;  A. Masood;  Z. Min;  W. Mitthumsiri;  T. Montaruli;  Y. C. Nan;  B. Y. Pang;  P. Pattarakijwanich;  Z. Y. Pei;  M. Y. Qi;  Y. Q. Qi;  B. Q. Qiao;  J. J. Qin;  D. Ruffolo;  V. Rulev;  A. Saiz;  L. Shao;  O. Shchegolev;  X. D. Sheng;  J. Y. Shi;  H. C. Song;  Yu. V. Stenkin;  V. Stepanov;  Y. Su;  Q. N. Sun;  X. N. Sun;  Z. B. Sun;  P. H. T. Tam;  Z. B. Tang;  W. W. Tian;  B. D. Wang;  C. Wang;  H. Wang;  H. G. Wang;  J. C. Wang;  J. S. Wang;  L. P. Wang;  L. Y. Wang;  R. N. Wang;  Wei Wang;  Wei Wang;  X. G. Wang;  X. J. Wang;  X. Y. Wang;  Y. Wang;  Y. D. Wang;  Y. J. Wang;  Y. P. Wang;  Z. H. Wang;  Z. X. Wang;  Zhen Wang;  Zheng Wang;  D. M. Wei;  J. J. Wei;  Y. J. Wei;  T. Wen;  C. Y. Wu;  H. R. Wu;  S. Wu;  W. X. Wu;  X. F. Wu;  S. Q. Xi;  J. Xia;  J. J. Xia;  G. M. Xiang;  D. X. Xiao;  G. Xiao;  H. B. Xiao;  G. G. Xin;  Y. L. Xin;  Y. Xing;  D. L. Xu;  R. X. Xu;  L. Xue;  D. H. Yan;  J. Z. Yan;  C. W. Yang;  F. F. Yang;  J. Y. Yang;  L. L. Yang;  M. J. Yang;  R. Z. Yang;  S. B. Yang;  Y. H. Yao;  Z. G. Yao;  Y. M. Ye;  L. Q. Yin;  N. Yin;  X. H. You;  Z. Y. You;  Y. H. Yu;  Q. Yuan;  H. D. Zeng;  T. X. Zeng;  W. Zeng;  Z. K. Zeng;  M. Zha;  X. X. Zhai;  B. B. Zhang;  H. M. Zhang;  H. Y. Zhang;  J. L. Zhang;  J. W. Zhang;  L. X. Zhang;  Li Zhang;  Lu Zhang;  P. F. Zhang;  P. P. Zhang;  R. Zhang;  S. R. Zhang;  S. S. Zhang;  X. Zhang;  X. P. Zhang;  Y. F. Zhang;  Y. L. Zhang;  Yi Zhang;  Yong Zhang;  B. Zhao;  J. Zhao;  L. Zhao;  L. Z. Zhao;  S. P. Zhao;  F. Zheng;  Y. Zheng;  B. Zhou;  H. Zhou;  J. N. Zhou;  P. Zhou;  R. Zhou;  X. X. Zhou;  C. G. Zhu;  F. R. Zhu;  H. Zhu;  K. J. Zhu;  X. Zuo
收藏  |  浏览/下载:14/0  |  提交时间:2021/07/27
A Middle Eocene lowland humid subtropical “Shangri-La” ecosystem in central Tibet 期刊论文
Proceedings of the National Academy of Sciences, 2020
作者:  Tao Su;  Robert A. Spicer;  Fei-Xiang Wu;  Alexander Farnsworth;  Jian Huang;  Cédric Del Rio;  Tao Deng;  Lin Ding;  Wei-Yu-Dong Deng;  Yong-Jiang Huang;  Alice Hughes;  Lin-Bo Jia;  Jian-Hua Jin;  Shu-Feng Li;  Shui-Qing Liang;  Jia Liu;  Xiao-Yan Liu;  Sarah Sherlock;  Teresa Spicer;  Gaurav Srivastava;  He Tang;  Paul Valdes;  Teng-Xiang Wang;  Mike Widdowson;  Meng-Xiao Wu;  Yao-Wu Xing;  Cong-Li Xu;  Jian Yang;  Cong Zhang;  Shi-Tao Zhang;  Xin-Wen Zhang;  Fan Zhao;  Zhe-Kun Zhou
收藏  |  浏览/下载:14/0  |  提交时间:2020/12/22
A Middle Eocene lowland humid subtropical “Shangri-La” ecosystem in central Tibet 期刊论文
Proceedings of the National Academy of Science, 2020
作者:  Tao Su;  Robert A. Spicer;  Fei-Xiang Wu;  Alexander Farnsworth;  Jian Huang;  Cédric Del Rio;  Tao Deng;  Lin Ding;  Wei-Yu-Dong Deng;  Yong-Jiang Huang;  Alice Hughes;  Lin-Bo Jia;  Jian-Hua Jin;  Shu-Feng Li;  Shui-Qing Liang;  Jia Liu;  Xiao-Yan Liu;  Sarah Sherlock;  Teresa Spicer;  Gaurav Srivastava;  He Tang;  Paul Valdes;  Teng-Xiang Wang;  Mike Widdowson;  Meng-Xiao Wu;  Yao-Wu Xing;  Cong-Li Xu;  Jian Yang;  Cong Zhang;  Shi-Tao Zhang;  Xin-Wen Zhang;  Fan Zhao;  Zhe-Kun Zhou
收藏  |  浏览/下载:12/0  |  提交时间:2020/12/22
Molecular characterization of firework-related urban aerosols using Fourier transform ion cyclotron resonance mass spectrometry 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (11) : 6803-6820
作者:  Xie, Qiaorong;  Su, Sihui;  Chen, Shuang;  Xu, Yisheng;  Cao, Dong;  Chen, Jing;  Ren, Lujie;  Yue, Siyao;  Zhao, Wanyu;  Sun, Yele;  Wang, Zifa;  Tong, Haijie;  Su, Hang;  Cheng, Yafang;  Kawamura, Kimitaka;  Jiang, Guibin;  Liu, Cong-Qiang;  Fu, Pingqing
收藏  |  浏览/下载:15/0  |  提交时间:2020/06/16
Increase of High Molecular Weight Organosulfate With Intensifying Urban Air Pollution in the Megacity Beijing 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (10)
作者:  Xie, Qiaorong;  Li, Ying;  Yue, Siyao;  Su, Sihui;  Cao, Dong;  Xu, Yisheng;  Chen, Jing;  Tong, Haijie;  Su, Hang;  Cheng, Yafang;  Zhao, Wanyu;  Hu, Wei;  Wang, Zhe;  Yang, Ting;  Pan, Xiaole;  Sun, Yele;  Wang, Zifa;  Liu, Cong-Qiang;  Kawamura, Kimitaka;  Jiang, Guibin;  Shiraiwa, Manabu;  Fu, Pingqing
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/02
Organic aerosol  Organosulfates  FT-ICR MS  Secondary organic aerosol  Volatile organic compounds  
Feedback generates a second receptive field in neurons of the visual cortex 期刊论文
NATURE, 2020
作者:  Shi, Enzheng;  Yuan, Biao;  Shiring, Stephen B.;  Gao, Yao;  Akriti;  Guo, Yunfan;  Su, Cong;  Lai, Minliang;  Yang, Peidong;  Kong, Jing;  Savoie, Brett M.;  Yu, Yi;  Dou, Letian
收藏  |  浏览/下载:44/0  |  提交时间:2020/07/03

Animals sense the environment through pathways that link sensory organs to the brain. In the visual system, these feedforward pathways define the classical feedforward receptive field (ffRF), the area in space in which visual stimuli excite a neuron(1). The visual system also uses visual context-the visual scene surrounding a stimulus-to predict the content of the stimulus(2), and accordingly, neurons have been identified that are excited by stimuli outside their ffRF(3-8). However, the mechanisms that generate excitation to stimuli outside the ffRF are unclear. Here we show that feedback projections onto excitatory neurons in the mouse primary visual cortex generate a second receptive field that is driven by stimuli outside the ffRF. The stimulation of this feedback receptive field (fbRF) elicits responses that are slower and are delayed in comparison with those resulting from the stimulation of the ffRF. These responses are preferentially reduced by anaesthesia and by silencing higher visual areas. Feedback inputs from higher visual areas have scattered receptive fields relative to their putative targets in the primary visual cortex, which enables the generation of the fbRF. Neurons with fbRFs are located in cortical layers that receive strong feedback projections and are absent in the main input layer, which is consistent with a laminar processing hierarchy. The observation that large, uniform stimuli-which cover both the fbRF and the ffRF-suppress these responses indicates that the fbRF and the ffRF are mutually antagonistic. Whereas somatostatin-expressing inhibitory neurons are driven by these large stimuli, inhibitory neurons that express parvalbumin and vasoactive intestinal peptide have mutually antagonistic fbRF and ffRF, similar to excitatory neurons. Feedback projections may therefore enable neurons to use context to estimate information that is missing from the ffRF and to report differences in stimulus features across visual space, regardless of whether excitation occurs inside or outside the ffRF. By complementing the ffRF, the fbRF that we identify here could contribute to predictive processing.


Feedback projections onto neurons of the mouse primary visual cortex generate a second excitatory receptive field that is driven by stimuli outside of the classical feedforward receptive field, with responses mediated by higher visual areas.