Guang Qiao, Hongyue Du, Yi Zeng. A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. In Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei, editors, Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I. Volume 10261 of Lecture Notes in Computer Science, pages 457-465, Springer, 2017. [doi]
@inproceedings{QiaoDZ17,
title = {A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity},
author = {Guang Qiao and Hongyue Du and Yi Zeng},
year = {2017},
doi = {10.1007/978-3-319-59072-1_54},
url = {https://doi.org/10.1007/978-3-319-59072-1_54},
researchr = {https://researchr.org/publication/QiaoDZ17},
cites = {0},
citedby = {0},
pages = {457-465},
booktitle = {Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I},
editor = {Fengyu Cong and Andrew Chi-Sing Leung and Qinglai Wei},
volume = {10261},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-59072-1},
}