Charlotte Frenkel, Giacomo Indiveri. ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales. In IEEE International Solid-State Circuits Conference, ISSCC 2022, San Francisco, CA, USA, February 20-26, 2022. pages 1-3, IEEE, 2022. [doi]
@inproceedings{FrenkelI22,
title = {ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales},
author = {Charlotte Frenkel and Giacomo Indiveri},
year = {2022},
doi = {10.1109/ISSCC42614.2022.9731734},
url = {https://doi.org/10.1109/ISSCC42614.2022.9731734},
researchr = {https://researchr.org/publication/FrenkelI22},
cites = {0},
citedby = {0},
pages = {1-3},
booktitle = {IEEE International Solid-State Circuits Conference, ISSCC 2022, San Francisco, CA, USA, February 20-26, 2022},
publisher = {IEEE},
isbn = {978-1-6654-2800-2},
}