Controlled generation of self-sustained oscillations in complex artificial neural networks

doi:10.1063/5.0069333

CORC > 理论物理研究所 > 中国科学院理论物理研究所 > 理论物理所科研产出 > 理论物理所1978-2010年知识产出

	Controlled generation of self-sustained oscillations in complex artificial neural networks
	Liu, Chang ; Dong, Jia-Qi ; Chen, Qing-Jian ; Huang, Zi-Gang ; Huang, Liang 8,8; Zhou, Hai-Jun ; Lai, Ying-Cheng
刊名	CHAOS
	2021
卷号	31 期号:11 页码:113127
关键词	DYNAMICS CHAOS SYNCHRONIZATION ORGANIZATION LOCKING MODELS
ISSN号	1054-1500
DOI	10.1063/5.0069333
英文摘要	Spatially distinct, self-sustained oscillations in artificial neural networks are fundamental to information encoding, storage, and processing in these systems. Here, we develop a method to induce a large variety of self-sustained oscillatory patterns in artificial neural networks and a controlling strategy to switch between different patterns. The basic principle is that, given a complex network, one can find a set of nodes-the minimum feedback vertex set (mFVS), whose removal or inhibition will result in a tree-like network without any loop structure. Reintroducing a few or even a single mFVS node into the tree-like artificial neural network can recover one or a few of the loops and lead to self-sustained oscillation patterns based on these loops. Reactivating various mFVS nodes or their combinations can then generate a large number of distinct neuronal firing patterns with a broad distribution of the oscillation period. When the system is near a critical state, chaos can arise, providing a natural platform for pattern switching with remarkable flexibility. With mFVS guided control, complex networks of artificial neurons can thus be exploited as potential prototypes for local, analog type of processing paradigms.
学科主题	Mathematics ; Physics
语种	英语
内容类型	期刊论文
源URL	[http://ir.itp.ac.cn/handle/311006/27603]
专题	理论物理研究所_理论物理所1978-2010年知识产出
作者单位	1.[Dong, Jia-Qi 2.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 3.[Chen, Qing-Jian 4.Xi An Jiao Tong Univ, Key Lab Biomed Informat Engn, Key Lab Neuroinformat & Rehabil Engn, Minist Educ,Minist Civil Affairs, Xian 710049, Peoples R China 5.Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA 6.Xi An Jiao Tong Univ, Inst Hlth & Rehabil Sci, Sch Life Sci & Technol, Xian 710049, Peoples R China 7.[Liu, Chang 8.Dong, Jia-Qi 9.Lanzhou Univ, Lanzhou Ctr Theoret Phys, Lanzhou 730000, Gansu, Peoples R China 10.Lanzhou Univ, Key Lab Theoret Phys Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Liu, Chang,Dong, Jia-Qi,Chen, Qing-Jian,et al. Controlled generation of self-sustained oscillations in complex artificial neural networks[J]. CHAOS,2021,31(11):113127.
APA	Liu, Chang.,Dong, Jia-Qi.,Chen, Qing-Jian.,Huang, Zi-Gang.,Huang, Liang.,...&Lai, Ying-Cheng.(2021).Controlled generation of self-sustained oscillations in complex artificial neural networks.CHAOS,31(11),113127.
MLA	Liu, Chang,et al."Controlled generation of self-sustained oscillations in complex artificial neural networks".CHAOS 31.11(2021):113127.