Memristive Logic Design of Multifunctional Spiking Neural Network with Unsupervised Learning
Author:
Funder
Ministry of Science and Higher Education of the Russian Federation
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Bioengineering
Link
https://link.springer.com/content/pdf/10.1007/s12668-020-00778-2.pdf
Reference37 articles.
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3. Kiselev, M. (2016). Rate coding vs temporal coding-is optimum between?. In Proceedings of IJCNN-2016 (pp. 1355–1359).
4. Kiselev, M., & Lavrentyev, A. (2019). Preprocessing layer in spiking neural networks-structure, parameters, performance criteria. In Proceedings of IJCNN-2019.
5. Kornijcuk, V., & Jeong, D. (2019). Recent progress in Real-Time adaptable digital neuromorphic hardware. Advanced Intelligent Systems, 1, 6.
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