Controlled generation of self-sustained oscillations in complex artificial neural networks
文献类型：期刊论文
| 作者 | Liu, Chang; Dong, Jia-Qi; Chen, Qing-Jian; Huang, Zi-Gang; Huang, Liang8,8; Zhou, Hai-Jun ; Lai, Ying-Cheng
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| 刊名 | CHAOS
 |
| 出版日期 | 2021 |
| 卷号 | 31期号:11页码:113127 |
| ISSN号 | 1054-1500 |
| 关键词 | DYNAMICS CHAOS SYNCHRONIZATION ORGANIZATION LOCKING MODELS |
| 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 |
| 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. |
入库方式： OAI收割
来源：理论物理研究所
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