SNN vs. CNN Implementations on FPGAs: An Empirical Evaluation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-55673-9_1
Reference23 articles.
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2. Smithson, S.C., Boga, K., Ardakani, A., Meyer, B.H., Gross, W.J.: Stochastic computing can improve upon digital spiking neural networks. In: Proceedings of International Workshop on Signal Processing Systems (SiPS), pp. 309–314. IEEE (2016)
3. Bouvier, M., et al.: Spiking neural networks hardware implementations and challenges: a survey. ACM J. Emerg. Technol. Comput. Syst. 15(2), 22:1-22:35 (2019)
4. Izhikevich, E.M.: Which model to use for cortical spiking neurons? IEEE Trans. Neural Netw. 15(5), 1063–1070 (2004)
5. Guo, W., Fouda, M.E., Eltawil, A.M., Salama, K.N.: Neural coding in spiking neural networks: a comparative study for robust neuromorphic systems. Frontiers Neurosci. 15, 1–14 (2021)
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