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Gibbs Sampling with Low-Power Spiking Digital Neurons., , , , , , , , and . CoRR, (2015)TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip., , , , , , , , , and 8 other author(s). IEEE Trans. on CAD of Integrated Circuits and Systems, 34 (10): 1537-1557 (2015)Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications., , , , , , , , , and 36 other author(s). SC, page 12. ACM, (2016)Real-time sensory information processing using the TrueNorth Neurosynaptic System., , , , , , , , , and 2 other author(s). ISCAS, page 2911. IEEE, (2016)Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution., , , , , , , , , and 28 other author(s). SC, page 27-38. IEEE, (2014)Mapping Generative Models onto Networks of Digital Spiking Neurons., , , , , , , and . CoRR, (2015)LATTE: Low-power Audio Transform with TrueNorth Ecosystem., , , , , , , , , and . IJCNN, page 4270-4277. IEEE, (2016)Mapping Generative Models onto a Network of Digital Spiking Neurons., , , , , , , and . IEEE Trans. Biomed. Circuits and Systems, 10 (4): 837-854 (2016)Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores., , , , , , , , , and 6 other author(s). IJCNN, page 1-10. IEEE, (2013)Nanoscale electronic synapses using phase change devices., , , , , , , , , and 5 other author(s). JETC, 9 (2): 12:1-12:20 (2013)