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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)

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STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition., , and . CoRR, (2017)Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning., , and . CoRR, (2018)Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition., and . CoRR, (2016)Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model., and . CoRR, (2017)FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 36 (12): 2017-2029 (2017)A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks., , , , , and . IJCNN, page 1-8. IEEE, (2019)Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation., , and . CoRR, (2019)Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks., , and . IEEE Access, (2019)Semantic driven hierarchical learning for energy-efficient image classification., and . DATE, page 1582-1587. IEEE, (2017)Energy Efficient Neural Computing: A Study of Cross-Layer Approximations., , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (4): 796-809 (2018)