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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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