Emergence of brain-inspired small-world spiking neural network through neuroevolution
文献类型：期刊论文
| 作者 | Pan, Wenxuan1,2; Zhao, Feifei1; Han, Bing1,2; Dong, Yiting1,3; Zeng, Yi1,2,3,4
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| 刊名 | ISCIENCE
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| 出版日期 | 2024-02-16 |
| 卷号 | 27期号:2页码:16 |
| DOI | 10.1016/j.isci.2024.108845 |
| 通讯作者 | Zeng, Yi(yi.zeng@ia.ac.cn) |
| 英文摘要 | Studies suggest that the brain's high efficiency and low energy consumption may be closely related to its small -world topology and critical dynamics. However, existing efforts on the performance -oriented structural evolution of spiking neural networks (SNNs) are time-consuming and ignore the core structural properties of the brain. Here, we introduce a multi -objective Evolutionary Liquid State Machine (ELSM), which blends the small -world coefficient and criticality to evolve models and guide the emergence of brain -inspired, efficient structures. Experiments reveal ELSM's consistent and comparable performance, achieving 97.23% on NMNIST and outperforming LSM models on MNIST and FashionMNIST with 98.12% and 88.81% accuracies, respectively. Further analysis shows its versatility and spontaneous evolution of topologies such as hub nodes, short paths, long-tailed degree distributions, and numerous communities. This study evolves recurrent spiking neural networks into brain -inspired energy -efficient structures, showcasing versatility in multiple tasks and potential for adaptive general artificial intelligence. |
| WOS关键词 | NEURONS ; ARCHITECTURE ; FRAMEWORK |
| 资助项目 | National Key Research and Development Program[2020AAA0107800] ; National Natural Science Foundation of China[62106261] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001178671500001 |
| 出版者 | CELL PRESS |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/57933]  |
| 专题 | 类脑智能研究中心_类脑认知计算 |
| 通讯作者 | Zeng, Yi |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Brain Inspired Cognit Intelligence Lab, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China 3.Univ Chinese Acad Sci, Sch Future Technol, Beijing 101408, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Wenxuan,Zhao, Feifei,Han, Bing,et al. Emergence of brain-inspired small-world spiking neural network through neuroevolution[J]. ISCIENCE,2024,27(2):16. |
| APA | Pan, Wenxuan,Zhao, Feifei,Han, Bing,Dong, Yiting,&Zeng, Yi.(2024).Emergence of brain-inspired small-world spiking neural network through neuroevolution.ISCIENCE,27(2),16. |
| MLA | Pan, Wenxuan,et al."Emergence of brain-inspired small-world spiking neural network through neuroevolution".ISCIENCE 27.2(2024):16. |
入库方式： OAI收割
来源：自动化研究所
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