Networking retinomorphic sensor with memristive crossbar for brain-inspired visual perception

Compared to human vision, conventional machine vision composed of an image sensor and processor suffers from high latency and large power consumption due to physically separated image sensing and processing. A neuromorphic vision system with brain-inspired visual perception provides a promising solu...

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Detalles Bibliográficos
Autores principales: Wang, Shuang, Wang, Chen-Yu, Wang, Pengfei, Wang, Cong, Li, Zhu-An, Pan, Chen, Dai, Yitong, Gao, Anyuan, Liu, Chuan, Liu, Jian, Yang, Huafeng, Liu, Xiaowei, Cheng, Bin, Chen, Kunji, Wang, Zhenlin, Watanabe, Kenji, Taniguchi, Takashi, Liang, Shi-Jun, Miao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Information Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288371/
https://www.ncbi.nlm.nih.gov/pubmed/34691573
http://dx.doi.org/10.1093/nsr/nwaa172

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