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	Hardware Asynchronous Cellular Automata of Spiking Neural Networks on SoC for Autonomous Machines
	Zhou Yimin; Krundel Ludovic; Mulvaney David; Chouliaras Vassilios; Xu Guoqing
	2013
会议名称	2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
会议地点	Melbourne, VIC, Australia
英文摘要	The research field of artificial intelligence (AI) has long abode by the top-down problem solving strategy. Yet, we have adopted bottom-up design thinking to solve its hard problems. To tackle end-to-end AI-hard problems, a highly self-adaptive control system-on-chip (SoC) has been developed to self-learn its internal and external resources with the aid of sets of sensors and actuators. Inspired by biological cell learning theory, different approaches of modelling techniques have been derived together with machine learning (ML) methods to the embedded control systems so as to perform different tasks. This paper lays out our developments of the above.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4546]
专题	深圳先进技术研究院_集成所
作者单位	2013
推荐引用方式 GB/T 7714	Zhou Yimin,Krundel Ludovic,Mulvaney David,et al. Hardware Asynchronous Cellular Automata of Spiking Neural Networks on SoC for Autonomous Machines[C]. 见:2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013. Melbourne, VIC, Australia.

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