Journal
Frontiers in Computational Neuroscience
Publication Date
1-1-2023
Volume
17
First Page
1197031
Document Type
Open Access Publication
DOI
10.3389/fncom.2023.1197031vvv
Rights and Permissions
Li X and Wang S (2023) Toward a computational theory of manifold untangling: from global embedding to local flattening. Front. Comput. Neurosci. 17:1197031. doi: 10.3389/fncom.2023.1197031 © 2023 Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Recommended Citation
Li, Xin and Wang, Shuo, "Toward a computational theory of manifold untangling: From global embedding to local flattening." Frontiers in Computational Neuroscience. 17, 1197031 (2023).
https://digitalcommons.wustl.edu/oa_4/2918
Department
ICTS (Institute of Clinical and Translational Sciences)
