Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Philip Lesnar"'
Autor:
Judith Mizrachi, Partha P. Mitra, Arun Narasimhan, Philip R. Nicovich, Sarojini M. Attili, Hideki Kondo, Pavel Osten, Muye Zhu, Brian Zingg, Anthony M. Zador, Stephan Fischer, William Galbavy, Uree Chon, Liya Ding, Stephanie Mok, Kwanghun Chung, Florence D’Orazi, Xu An, Shenqin Yao, Philip Lesnar, Wayne Wakemen, James C. Gee, Darrick Lo, Kathleen Kelly, Ian Bowman, Lydia Ng, Peng Xie, Quanxin Wang, Karla E. Hirokawa, X. William Yang, Julie A. Harris, Xiuli Kuang, Huizhong W. Tao, Samik Bannerjee, Elise Shen, Xu Li, Z. Josh Huang, Ali Cetin, Young Gyun Park, Lijuan Liu, Corey Elowsky, Xiangning Li, Lin Gou, Hong-Wei Dong, Laura Korobkova, Joshua T. Hatfield, Junxiang Jason Huang, Hui Gong, Yun Wang, Houri Hintiryan, Nicholas N. Foster, Peter A. Groblewski, Michael S. Bienkowski, Diek W. Wheeler, Xiaoyin Chen, Yu-Chi Sun, Anastasiia Bludova, Maitham Naeemi, Rodrigo Muñoz-Castañeda, Joel D. Hahn, Jing Yuan, Hanchuan Peng, Katherine Matho, Jason Palmer, Huiqing Zhan, Yimin Wang, Hongkui Zeng, Michael Hawrylycz, Chris Sin Park, Li I. Zhang, Rhonda Drewes, Ramesh Palaniswamy, Bing-Xing Huo, Anan Li, Yongsoo Kim, Jesse Gillis, Byung Kook Lim, Lei Gao, Giorgio A. Ascoli, Xiaoli Qi, Meng Kuan Lin, Yaoyao Li, Qingming Luo
Publikováno v:
Nature
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of t
Autor:
Xu An, Xiangning Li, Corey Elowsky, Laura Korobkova, Lei Gao, Giorgio A. Ascoli, Judith Mizrachi, William Galbavy, Jesse Gillis, Byung Kook Lim, Hanchuan Peng, Katherine Matho, Jason Palmer, Liya Ding, Uree Chon, Michael Hawrylycz, Florence D’Orazi, Kathleen Kelly, James C. Gee, Anastasiia Bludova, Peter A. Groblewski, Xu Li, Z. Josh Huang, Wayne Wakemen, Yun Wang, Stephanie Mok, Xiuli Kuang, X. William Yang, Houri Hintiryan, Michael S. Bienkowski, Karla E. Hirokawa, Lydia Ng, Peng Xie, Diek W. Wheeler, Xiaoyin Chen, Jin Yuan, Julie A. Harris, Yaoyao Li, Ramesh Palaniswamy, Yongsoo Kim, Li I. Zhang, Qingming Luo, Darrick Lo, Samik Bannerjee, Huizhong Tao, Ian Bowman, Meng Kuan Lin, Yu-Chi Sun, Quanxin Wang, Elise Shen, Lijuan Liu, Joel D. Hahn, Joshua T. Hatfield, Anan Li, Maitham Naeemi, Hui Gong, Xiaoli Qi, Partha P. Mitra, Hideki Kondo, Philip R. Nicovich, Pavel Osten, Hongkui Zeng, Muye Zhu, Sarojini M. Attili, Brian Zingg, Anthony M. Zador, Stephan Fischer, Bing-Xing Huo, Shenqin Yao, Nicholas N. Foster, Philip Lesnar, Rodrigo Muñoz-Castañeda, Ali Cetin, Young Gyun Park, Arun Narasimhan, Kwanghun Chuang, Lin Gou, Hong-Wei Dong, Yimin Wang, Chris Sin Park, Rhonda Drewes, Jason Huang
An essential step toward understanding brain function is to establish a cellular-resolution structural framework upon which multi-scale and multi-modal information spanning molecules, cells, circuits and systems can be integrated and interpreted. Her
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f63495cf24bbabde156a9b0d8001649a
https://doi.org/10.1101/2020.10.02.323154
https://doi.org/10.1101/2020.10.02.323154
Autor:
Z. Josh Huang, Matthew B. Veldman, Yang Yu, Sara Kebede, Philip Lesnar, Thuc Nghi Nguyen, Anan Li, Zhi Zhou, Chris Hill, Susan M. Sunkin, Hanchuan Peng, Shaoqun Zeng, Yaoyao Li, Qingming Luo, Li Xiangning, Lei Qu, Karla E. Hirokawa, Elise Shen, Lijuan Liu, Yimin Wang, X. William Yang, Michael Hawrylycz, Lydia Ng, Hui Gong, Peng Xie, Sujun Zhao, Xiuli Kuang, Tanya L. Daigle, Aaron Feiner, Zizhen Yao, Christof Koch, Shengdian Jiang, Stephanie Mok, Jing Yuan, Hongkui Zeng, Lulu Ying, Rachael Larsen, Staci A. Sorensen, Julie A. Harris, Luke Esposito, Yun Wang, Bosiljka Tasic, Yuanyuan Song, Quanxin Wang, Wayne Wakeman
Publikováno v:
SSRN Electronic Journal.
Dendritic and axonal morphology is a defining feature of neuronal types and their connectivity. Yet our knowledge concerning the diversity of neuronal morphology is extremely limited. To systematically obtain single neuron full morphology on a brain-