Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity
- 1College of Mechatronics and Automation, National University of Defense Technology, Changsha, China
- 2College of Science, National University of Defense Technology, Changsha, China
- 3Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Science, Beijing, China
A Corrigendum on
Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity
by Luo, Z., Hou, C., Wang, L., and Hu, D. (2019). Front. Hum. Neurosci. 13:29. doi: 10.3389/fnhum.2019.00029
An author name was incorrectly spelled as “Chengping Hou.” The correct spelling is “Chenping Hou.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: cortical three-dimensional morphology, gender difference, hierarchical sparse representation classifier, magnetic resonance imaging, multivariate pattern analysis
Citation: Luo Z, Hou C, Wang L and Hu D (2019) Corrigendum: Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity. Front. Hum. Neurosci. 13:219. doi: 10.3389/fnhum.2019.00219
Received: 10 June 2019; Accepted: 14 June 2019;
Published: 28 June 2019.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2019 Luo, Hou, Wang and Hu. 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.
*Correspondence: Dewen Hu, dwhu@nudt.edu.cn