Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara. A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing. In IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022. pages 2152-2156, IEEE, 2022. [doi]
@inproceedings{SakemiMMHA22,
title = {A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing},
author = {Yusuke Sakemi and Kai Morino and Takashi Morie and Takeo Hosomi and Kazuyuki Aihara},
year = {2022},
doi = {10.1109/ISCAS48785.2022.9937662},
url = {https://doi.org/10.1109/ISCAS48785.2022.9937662},
researchr = {https://researchr.org/publication/SakemiMMHA22},
cites = {0},
citedby = {0},
pages = {2152-2156},
booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022},
publisher = {IEEE},
isbn = {978-1-6654-8485-5},
}