Brain-inspired global-local learning incorporated with neuromorphic computing

There are two principle approaches for learning in artificial intelligence: error-driven global learning and neuroscience-oriented local learning. Integrating them into one network may provide complementary learning capabilities for versatile learning scenarios. At the same time, neuromorphic comput...

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Detalles Bibliográficos
Autores principales: Wu, Yujie, Zhao, Rong, Zhu, Jun, Chen, Feng, Xu, Mingkun, Li, Guoqi, Song, Sen, Deng, Lei, Wang, Guanrui, Zheng, Hao, Ma, Songchen, Pei, Jing, Zhang, Youhui, Zhao, Mingguo, Shi, Luping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748814/
https://www.ncbi.nlm.nih.gov/pubmed/35013198
http://dx.doi.org/10.1038/s41467-021-27653-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748814/
https://www.ncbi.nlm.nih.gov/pubmed/35013198
http://dx.doi.org/10.1038/s41467-021-27653-2

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