IEEE Transactions on Applied Superconductivity, volume 34, issue 3, pages 1-6
An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
Publication type: Journal Article
Publication date: 2024-05-01
Q2
Q3
SJR: 0.500
CiteScore: 3.5
Impact factor: 1.7
ISSN: 10518223, 15582515, 23787074
Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Electrical and Electronic Engineering
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Ucpinar B. Z. et al. An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks // IEEE Transactions on Applied Superconductivity. 2024. Vol. 34. No. 3. pp. 1-6.
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Ucpinar B. Z., Karamuftuogl M. A., Razmkhah S., Pedram M. An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks // IEEE Transactions on Applied Superconductivity. 2024. Vol. 34. No. 3. pp. 1-6.
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TY - JOUR
DO - 10.1109/tasc.2024.3359164
UR - https://ieeexplore.ieee.org/document/10420457/
TI - An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
T2 - IEEE Transactions on Applied Superconductivity
AU - Ucpinar, Beyza Zeynep
AU - Karamuftuogl, Mustafa Altay
AU - Razmkhah, Sasan
AU - Pedram, M.
PY - 2024
DA - 2024/05/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1-6
IS - 3
VL - 34
SN - 1051-8223
SN - 1558-2515
SN - 2378-7074
ER -
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@article{2024_Ucpinar,
author = {Beyza Zeynep Ucpinar and Mustafa Altay Karamuftuogl and Sasan Razmkhah and M. Pedram},
title = {An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks},
journal = {IEEE Transactions on Applied Superconductivity},
year = {2024},
volume = {34},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {may},
url = {https://ieeexplore.ieee.org/document/10420457/},
number = {3},
pages = {1--6},
doi = {10.1109/tasc.2024.3359164}
}
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MLA
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Ucpinar, Beyza Zeynep, et al. “An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks.” IEEE Transactions on Applied Superconductivity, vol. 34, no. 3, May. 2024, pp. 1-6. https://ieeexplore.ieee.org/document/10420457/.