Cyborg Intelligence :Recent Progress and Future Directions

	Cyborg Intelligence :Recent Progress and Future Directions
	Zhaohui Wu; Yongdi Zhou; Zhongzhi Shi; Changshui Zhang; Guanglin Li; Xiaoxiang Zheng; Nenggan Zheng; Gang Pan
刊名	IEEE Intelligent Systems
	2016
英文摘要	The combination of biological and artificial intelligence is a promising methodology to construct a novel intelligent modality, proposed as cyborg intelligence. The hierarchical conceptual framework is based on the interaction and combination of comparable components of biological cognitive units and computing intelligent units. The authors extend the previous conceptual framework and focus on sensorimotor circuits to explore the representation and integration of sensation. They then present a cognitive computing model for brain-computer integration and design efficient machine-learning algorithms for neural signal decoding. They also propose biological reconstruction methods for sensorimotor circuits to not only restore but enhance functionalities with AI. They develop a series of demonstrating systems to validate the conceptual framework of cyborg intelligence and possibly herald bright prospects and high values in diversified aspects of theoretical research, engineering techniques, and clinical applications. Finally, the authors summarize the latest research trends and challenges, which they believe will further boost new scientific frontiers in cyborg intelligence.
收录类别	SCI
原文出处	http://ieeexplore.ieee.org/abstract/document/7742276/authors?ctx=authors
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10373]
专题	深圳先进技术研究院_医工所
作者单位	IEEE Intelligent Systems
推荐引用方式 GB/T 7714	Zhaohui Wu,Yongdi Zhou,Zhongzhi Shi,et al. Cyborg Intelligence :Recent Progress and Future Directions[J]. IEEE Intelligent Systems,2016.
APA	Zhaohui Wu.,Yongdi Zhou.,Zhongzhi Shi.,Changshui Zhang.,Guanglin Li.,...&Gang Pan.(2016).Cyborg Intelligence :Recent Progress and Future Directions.IEEE Intelligent Systems.
MLA	Zhaohui Wu,et al."Cyborg Intelligence :Recent Progress and Future Directions".IEEE Intelligent Systems (2016).