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Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation., and . CoRR, (2018)Nanoscale electronic synapses using phase change devices., , , , , , , , , and 5 other author(s). JETC, 9 (2): 12:1-12:20 (2013)Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics., , , and . Neurocomputing, (2018)Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches., , , , and . IEEE Signal Process. Mag., 36 (6): 97-110 (2019)Bayesian Inference Accelerator for Spiking Neural Networks., , , , , and . CoRR, (2024)A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons., , , , , , , , , and 1 other author(s). CICC, page 1-4. IEEE, (2011)Mimicking the worm - An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis., , and . IJCNN, page 2079-2086. IEEE, (2014)Training Probabilistic Spiking Neural Networks with First-to-spike Decoding., , and . CoRR, (2017)Acceleration of Convolutional Networks Using Nanoscale Memristive Devices., , and . EANN, volume 893 of Communications in Computer and Information Science, page 240-251. Springer, (2018)Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks., , and . ISCAS, page 1-. IEEE, (2018)