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Open Access

Correction

Correction: Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity

  • Sofia Leite,
  • Bruno Mota,
  • António Ramos Silva,
  • Michael Lamport Commons,
  • Patrice Marie Miller,
  • Pedro Pereira Rodrigues

There are errors in the author affiliations. The correct affiliations are as follows:

Sofia Leite1,2, Bruno Mota3, António Ramos Silva4,5, Michael Lamport Commons2,6, Patrice Marie Miller2,7, Pedro Pereira Rodrigues1,8

1 CINTESIS@RISE—Center of Health Technologies and Services Research at Health Research Network, 2 Dare Association, Inc. Boston, Massachusetts, United States of America, 3 Laboratory of Experimental Mathematics and Theoretical Biology, Physics Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil, 4 Department of Mechanical Engineering, Faculty of Engineering University of Porto, Porto, Portugal, 5 INEGI Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal, 6 Beth Israel Deaconess Medical Center, Harvard Medical School, Cambridge, Massachusetts, United States of America, 7 Department of Psychology, Salem State University, Salem, Massachusetts, United States of America, 8 Faculty of Medicine, University of Porto

Reference

  1. 1. Leite S, Mota B, Silva AR, Commons ML, Miller PM, Rodrigues PP (2023) Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. PLOS ONE 18(8): e0290743. https://doi.org/10.1371/journal.pone.0290743 pmid:37651418

Citation: Leite S, Mota B, Ramos Silva A, Lamport Commons M, Marie Miller P, Pereira Rodrigues P (2024) Correction: Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. PLoS ONE 19(7): e0308115. https://doi.org/10.1371/journal.pone.0308115

Published: July 25, 2024

Copyright: © 2024 Leite et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.