Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, A. Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello. Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. In IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022. pages 380-383, IEEE, 2022. [doi]
@inproceedings{MoroEHCTDMABSIP22,
title = {Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks},
author = {Filippo Moro and Eduardo Esmanhotto and Tifenn Hirtzlin and Niccolo Castellani and A. Trabelsi and Thomas Dalgaty and Gabriel Molas and François Andrieu and Stefano Brivio and Sabina Spiga and Giacomo Indiveri and Melika Payvand and Elisa Vianello},
year = {2022},
doi = {10.1109/ISCAS48785.2022.9937820},
url = {https://doi.org/10.1109/ISCAS48785.2022.9937820},
researchr = {https://researchr.org/publication/MoroEHCTDMABSIP22},
cites = {0},
citedby = {0},
pages = {380-383},
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},
}