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Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control

Y. Yan, T. Stewart, X. Choo, B. Vogginger, J. Partzsch, S. Höppner, F. Kelber, C. Eliasmith, S. Furber, and C. Mayr. Neuromorph. Comput. Eng., 1 (1): 014002 (September 2021)

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Efficient recurrent architectures through activity sparsity and sparse back-propagation through timeA. Subramoney, K. Nazeer, M. Schöne, C. Mayr, and D. Kappel. (2022)Hardware acceleration of EEG-based emotion classification systems: A comprehensive surveyH. Gonzalez, R. George, S. Muzaffar, J. Acevedo, S. Hoppner, C. Mayr, J. Yoo, F. Fitzek, and I. Elfadel. IEEE Trans. Biomed. Circuits Syst., 15 (3): 412--442 (June 2021)Mapping deep neural networks on SpiNNaker2F. Kelber, B. Wu, B. Vogginger, J. Partzsch, C. Liu, M. Stolba, and C. Mayr. Proceedings of the Neuro-inspired Computational Elements Workshop, New York, NY, USA, ACM, (March 2020)Squeeze-and-threshold based quantization for low-precision neural networksB. Wu, B. Waschneck, and C. Mayr. Proceedings of the International Neural Networks Society, Springer International Publishing, Cham, (2021)Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic controlY. Yan, T. Stewart, X. Choo, B. Vogginger, J. Partzsch, S. Höppner, F. Kelber, C. Eliasmith, S. Furber, and C. Mayr. Neuromorph. Comput. Eng., 1 (1): 014002 (September 2021)The SpiNNaker 2 processing element architecture for hybrid digital neuromorphic computingS. Höppner, Y. Yan, A. Dixius, S. Scholze, J. Partzsch, M. Stolba, F. Kelber, B. Vogginger, F. Neumärker, G. Ellguth and 8 other author(s). (2021)SpiNNaker 2: A 10 Million core processor system for brain simulation and machine learningC. Mayr, S. Hoeppner, and S. Furber. (2019)Memory-efficient deep learning on a SpiNNaker 2 prototypeC. Liu, G. Bellec, B. Vogginger, D. Kappel, J. Partzsch, F. Neumärker, S. Höppner, W. Maass, S. Furber, R. Legenstein and 1 other author(s). Front. Neurosci., (November 2018)Applied spiking neural networks for radar-based gesture recognitionF. Kreutz, P. Gerhards, B. Vogginger, K. Knobloch, and C. Mayr. 2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP), IEEE, (June 2021)

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Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control

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Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control