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keywords={image classification;learning (artificial intelligence);neural nets;object recognition;CNN;Microsoft COCO dataset;Pascal VOC dataset;convolutional neural networks;image annotation;image-level labels;object bounding box annotation;object classification;object localization;object location prediction performance;visual object recognition;weakly-supervised learning;Computer architecture;Neural networks;Object recognition;Search problems;Supervised learning;Training;Visualization},
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keywords={Hebbian learning;convolution;decision making;feature extraction;image classification;neural net architecture;resource allocation;Hebbian principle;architectural decision;convolutional neural network architecture;object classification;object detection;resource utilization;Computer architecture;Computer vision;Convolutional codes;Neural networks;Object detection;Sparse matrices;Visualization},
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@ARTICLE{10.3389/fnins.2016.00508,
AUTHOR={Lee, Jun Haeng and Delbruck, Tobi and Pfeiffer, Michael},
TITLE={Training Deep Spiking Neural Networks Using Backpropagation},
JOURNAL={Frontiers in Neuroscience},
VOLUME={10},
PAGES={508},
YEAR={2016},
URL={https://www.frontiersin.org/article/10.3389/fnins.2016.00508},
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title = "Chapter 48 - Learning and Memory: Brain Systems",
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booktitle = "Fundamental Neuroscience (Fourth Edition)",
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@incollection{BYRNE20131009,
title = "Chapter 47 - Learning and Memory: Basic Mechanisms",
editor = "Larry R. Squire and Darwin Berg and Floyd E. Bloom and Sascha du Lac and Anirvan Ghosh and Nicholas C. Spitzer",
booktitle = "Fundamental Neuroscience (Fourth Edition)",
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