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19 May 2022 Analysis of Spiking Neural Network trends based on CiteSpace
Yuyin Guan, Zhiquan Shang, Cuixia Li
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Proceedings Volume 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022); 1225008 (2022) https://doi.org/10.1117/12.2639578
Event: International Symposium on Computer Applications and Information Systems (ISCAIS2022), 2022, Shenzhen, China
Abstract
Spiking Neural Network (SNN) is a newly high bionic neural network with great potential in the future. However, the relevant research is not enough and there is no reference to the research direction at present. Therefore, we'd like to provide valuable references to researchers and enhance the understanding of SNN through this study. We analyzed 4005 papers and 1318 preprints about SNN from databases including Web of Science, Advanced Intelligent Systems, arXiv, and ResearchGate. By using visualization tools named CiteSpace and wordcloud, we made multifaceted exploration and analysis including keywords, institutions and countries, authors, journals, references, and preprints. We have explored the possible future research hotspots and trends of SNN, and we also explored the most influential authors, institutions, and journals in this field.
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Yuyin Guan, Zhiquan Shang, and Cuixia Li "Analysis of Spiking Neural Network trends based on CiteSpace", Proc. SPIE 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022), 1225008 (19 May 2022); https://doi.org/10.1117/12.2639578
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KEYWORDS
Analytical research
Neural networks
Neurons
Neuroscience
Brain
Statistical analysis
Scientific research
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