Daniel Neil, Michael Pfeiffer, Shih-Chii Liu. Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks. In Sascha Ossowski, editor, Proceedings of the 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016. pages 293-298, ACM, 2016. [doi]
@inproceedings{NeilPL16,
title = {Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks},
author = {Daniel Neil and Michael Pfeiffer and Shih-Chii Liu},
year = {2016},
doi = {10.1145/2851613.2851724},
url = {http://doi.acm.org/10.1145/2851613.2851724},
researchr = {https://researchr.org/publication/NeilPL16},
cites = {0},
citedby = {0},
pages = {293-298},
booktitle = {Proceedings of the 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016},
editor = {Sascha Ossowski},
publisher = {ACM},
isbn = {978-1-4503-3739-7},
}