Implementation of Spiking Neural Network with Wireless Communications-Reference-Cited by-同舟云学术

Implementation of Spiking Neural Network with Wireless Communications

Published:2019 Issue: Volume: Page:619-626
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Hiraoka Ryuya,Matsumoto Kazuki,Nguyen Kien^ORCID,Torikai Hiroyuki^ORCID,Sekiya Hiroo^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-36802-9_66

Reference9 articles.

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2. Dominguez-Morales, J.P., et al.: Deep spiking neural network model for time-variant signals classification: a real-time speech recognition approach. In: 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1–8 (2018)

3. Mostafa, H.: Supervised learning based on temporal coding in spiking neural networks. IEEE Trans. Neural Netw. Learn. Syst. 29(7), 3227–3235 (2018)

4. Roy, S., Basu, A.: An online unsupervised structural plasticity algorithm for spiking neural networks. IEEE Trans. Neural Netw. Learn. Syst. 28(4), 900–910 (2017)

5. Wang, Z., Guo, L., Adjouadi, M.: A biological plausible Generalized Leaky Integrate-and-Fire neuron model. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, pp. 6810–6813 (2014)

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