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An integrated mixed-mode neural network architecture for megasynapse ANNs (2002)
by
Johannes Schemmel
,
Karlheinz Meier
| Venue: | In Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN’02 |
| Citations: | 4 - 2 self |
BibTeX
@INPROCEEDINGS{Schemmel02anintegrated,
author = {Johannes Schemmel and Karlheinz Meier},
title = {An integrated mixed-mode neural network architecture for megasynapse ANNs},
booktitle = {In Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN’02},
year = {2002},
pages = {2704--2710},
publisher = {IEEE Press}
}
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Abstract
Abstract- This paper presents a new VLSI archi-tecture for ANNs based on the combination of digital signalling and analog computing. It achieves a high level of parallelism as well as ecient area and power usage making very large networks possible. An imple-mentation is presented combining 33k synapses and 256 neurons on 9 mm2 of silicon area. I.
