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Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithms
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10080108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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