BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation

Spiking neural networks (SNNs) serve as a promising computational framework for integrating insights from the brain into artificial intelligence (AI). Existing software infrastructures based on SNNs exclusively support brain simulation or brain-inspired AI, but not both simultaneously. To decode the...

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Detalles Bibliográficos
Autores principales: Zeng, Yi, Zhao, Dongcheng, Zhao, Feifei, Shen, Guobin, Dong, Yiting, Lu, Enmeng, Zhang, Qian, Sun, Yinqian, Liang, Qian, Zhao, Yuxuan, Zhao, Zhuoya, Fang, Hongjian, Wang, Yuwei, Li, Yang, Liu, Xin, Du, Chengcheng, Kong, Qingqun, Ruan, Zizhe, Bi, Weida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435966/
https://www.ncbi.nlm.nih.gov/pubmed/37602224
http://dx.doi.org/10.1016/j.patter.2023.100789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435966/
https://www.ncbi.nlm.nih.gov/pubmed/37602224
http://dx.doi.org/10.1016/j.patter.2023.100789

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