%0 Conference Paper %1 conf/ijcnn/HanS016 %A Han, Bing %A Sengupta, Abhronil %A Roy, Kaushik %B IJCNN %D 2016 %I IEEE %K dblp %P 971-976 %T On the energy benefits of spiking deep neural networks: A case study. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#HanS016 %@ 978-1-5090-0620-5

@inproceedings{conf/ijcnn/HanS016, added-at = {2020-08-11T00:00:00.000+0200}, author = {Han, Bing and Sengupta, Abhronil and Roy, Kaushik}, biburl = {https://www.bibsonomy.org/bibtex/2b60d1787cc47555146e2246fbde4343e/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2016}, ee = {https://doi.org/10.1109/IJCNN.2016.7727303}, interhash = {bf9699f8badf72bb13727b5721145ae7}, intrahash = {b60d1787cc47555146e2246fbde4343e}, isbn = {978-1-5090-0620-5}, keywords = {dblp}, pages = {971-976}, publisher = {IEEE}, timestamp = {2020-08-12T11:39:31.000+0200}, title = {On the energy benefits of spiking deep neural networks: A case study.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#HanS016}, year = 2016 }