Efficient Neuromorphic Hardware Through Spiking Temporal Online Local Learning. Guo, W., Fouda, M. E., Eltawil, A. M., & Salama, K. N. IEEE Trans. Very Large Scale Integr. Syst., 30(11):1642–1653, 2022.
Efficient Neuromorphic Hardware Through Spiking Temporal Online Local Learning [link]Paper  doi  bibtex   
@article{DBLP:journals/tvlsi/GuoFES22,
  author       = {Wenzhe Guo and
                  Mohammed E. Fouda and
                  Ahmed M. Eltawil and
                  Khaled Nabil Salama},
  title        = {Efficient Neuromorphic Hardware Through Spiking Temporal Online Local
                  Learning},
  journal      = {{IEEE} Trans. Very Large Scale Integr. Syst.},
  volume       = {30},
  number       = {11},
  pages        = {1642--1653},
  year         = {2022},
  url          = {https://doi.org/10.1109/TVLSI.2022.3208191},
  doi          = {10.1109/TVLSI.2022.3208191},
  timestamp    = {Wed, 07 Dec 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/tvlsi/GuoFES22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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