Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform

doi:10.1007/s12559-016-9411-y

	Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform
	Liu, Xin1 ; Zeng, Yi1,2 ; Zhang, Tielin1 ; Xu, Bo1,2
发表期刊	COGNITIVE COMPUTATION
	2016-10-01
卷号	8 期号:5 页码:967-981
文章类型	Article
摘要	The brain is naturally a parallel and distributed system. Reverse engineering a cognitive brain is considered to be a grand challenge. In this paper, we present the parallel brain simulator (PBS), a parallel and distributed platform for modeling the cognitive brain at multiple scales. Inspired by large-scale graph computation, PBS can be considered as a universal parallel execution engine, which is aimed at reducing the complexity of distributed programming and providing an easy to use programmable platform for computational neuroscientists and artificial intelligence researchers for modeling and simulation of large-scale neural networks. As illustrative examples and validations, three brain-inspired neural networks which are built on PBS are introduced, including the 1:1 human hippocampus network, the 1:1 mouse whole-brain network and the CASIA brain simulator built for cognitive robotics. We deploy PBS on both commodity clusters and supercomputers, and a scalable performance is achieved. In addition, we provide evaluations on the scalability and performance of both lumped synapse-based simulation and non-lumped synapse-based simulation with different data-graph distribution methods to show the effectiveness and usability of the PBS platform.
关键词	Neural Network Simulator Graph Computation Parallel Simulation Spiking Neural Network Pbs
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI	10.1007/s12559-016-9411-y
关键词[WOS]	SPIKING NEURONS ; PLASTICITY ; NUMBER
收录类别	SCI
语种	英语
项目资助者	Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060007) ; Beijing Municipal Science and Technology Commission(Z151100000915070)
WOS研究方向	Computer Science ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号	WOS:000386351500017
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11325
专题	脑图谱与类脑智能实验室_类脑认知计算
作者单位	1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Liu, Xin,Zeng, Yi,Zhang, Tielin,et al. Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform[J]. COGNITIVE COMPUTATION,2016,8(5):967-981.
APA	Liu, Xin,Zeng, Yi,Zhang, Tielin,&Xu, Bo.(2016).Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform.COGNITIVE COMPUTATION,8(5),967-981.
MLA	Liu, Xin,et al."Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform".COGNITIVE COMPUTATION 8.5(2016):967-981.

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