Improved integrate-and-fire neuron models for inference acceleration of spiking neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-020-02017-3.pdf
Reference28 articles.
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3. Camunas-Mesa L, Zamarreno-Ramos C, Linares-barranco A, et al. (2012) An event-driven multi-kernel convolution processor module for event-driven vision sensors. IEEE Journal of Solid-State Circuits 47 (2):504–517. https://doi.org/10.1109/JSSC.2011.2167409
4. Cao Y, Chen Y (2014) Spiking deep convolutional neural networks for energy-efficient object recognition. Int J Comput Vis 113(1):54–66. https://doi.org/10.1007/s11263-014-0788-3
5. Carlson KD, Nageswaran JM, Dutt N, Krichmar JL (2014) An efficient automated parameter tuning framework for spiking neural networks. Front Neurosci 8. https://doi.org/10.3389/fnins.2014.00010
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