Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks - researchr publication

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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]

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