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

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Title: Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity.
Authors: Leite S; CINTESIS - Center for Health Technology and Services Research, Porto, Portugal.; Dare Association, Inc. Boston, Massachusetts, United States of America., Mota B; Laboratory of Experimental Mathematics and Theoretical Biology, Physics Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil., Silva AR; Department of Mechanical Engineering, Faculty of Engineering University of Porto, Porto, Portugal.; INEGI Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal., Commons ML; Dare Association, Inc. Boston, Massachusetts, United States of America.; Beth Israel Deaconess Medical Center, Harvard Medical School, Cambridge, Massachusetts, United States of America., Miller PM; Dare Association, Inc. Boston, Massachusetts, United States of America.; Department of Psychology, Salem State University, Salem, Massachusetts, United States of America., Rodrigues PP; CINTESIS - Center for Health Technology and Services Research, Porto, Portugal.
Source: PloS one [PLoS One] 2023 Aug 31; Vol. 18 (8), pp. e0290743. Date of Electronic Publication: 2023 Aug 31 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Leite+S%22">Leite S</searchLink>; CINTESIS - Center for Health Technology and Services Research, Porto, Portugal.; Dare Association, Inc. Boston, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Mota+B%22">Mota B</searchLink>; Laboratory of Experimental Mathematics and Theoretical Biology, Physics Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.<br /><searchLink fieldCode="AU" term="%22Silva+AR%22">Silva AR</searchLink>; Department of Mechanical Engineering, Faculty of Engineering University of Porto, Porto, Portugal.; INEGI Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Commons+ML%22">Commons ML</searchLink>; Dare Association, Inc. Boston, Massachusetts, United States of America.; Beth Israel Deaconess Medical Center, Harvard Medical School, Cambridge, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Miller+PM%22">Miller PM</searchLink>; Dare Association, Inc. Boston, Massachusetts, United States of America.; Department of Psychology, Salem State University, Salem, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Rodrigues+PP%22">Rodrigues PP</searchLink>; CINTESIS - Center for Health Technology and Services Research, Porto, Portugal.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2023 Aug 31; Vol. 18 (8), pp. e0290743. <i>Date of Electronic Publication: </i>2023 Aug 31 (<i>Print Publication: </i>2023).
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        Value: 10.1371/journal.pone.0290743
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