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Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms

Detalles Bibliográficos
Autores principales: Han, Yuqi, Deng, Chenwei, Huang, Guang-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080108/
https://www.ncbi.nlm.nih.gov/pubmed/37034174
http://dx.doi.org/10.3389/fnins.2023.1169027
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author Han, Yuqi
Deng, Chenwei
Huang, Guang-Bin
author_facet Han, Yuqi
Deng, Chenwei
Huang, Guang-Bin
author_sort Han, Yuqi
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spelling pubmed-100801082023-04-08 Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms Han, Yuqi Deng, Chenwei Huang, Guang-Bin Front Neurosci Neuroscience Frontiers Media S.A. 2023-03-24 /pmc/articles/PMC10080108/ /pubmed/37034174 http://dx.doi.org/10.3389/fnins.2023.1169027 Text en Copyright © 2023 Han, Deng and Huang. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Neuroscience
Han, Yuqi
Deng, Chenwei
Huang, Guang-Bin
Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
title Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
title_full Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
title_fullStr Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
title_full_unstemmed Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
title_short Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
title_sort editorial: brain-inspired cognition and understanding for next-generation ai: computational models, architectures and learning algorithms
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080108/
https://www.ncbi.nlm.nih.gov/pubmed/37034174
http://dx.doi.org/10.3389/fnins.2023.1169027
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