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Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity., , , and . IEEE Trans. Cognitive and Developmental Systems, 11 (3): 384-394 (2019)An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems., , , , and . CoRR, (2017)Chaos-guided Input Structuring for Improved Learning in Recurrent Neural Networks., and . CoRR, (2017)Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems., , , , , , and . DAC, page 98:1-98:6. ACM, (2016)Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks., , and . CoRR, (2017)Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing., , , , and . CoRR, (2015)Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis., , and . CoRR, (2019)Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks., , and . CoRR, (2017)Conditional Deep Learning for energy-efficient and enhanced pattern recognition., , and . DATE, page 475-480. IEEE, (2016)Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons., , , , and . CoRR, (2015)