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A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification., and . BICT, page 529-534. ICST/ACM, (2015)Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm., , , , , and . ICONS, page 11:1-11:5. ACM, (2019)A symmetry-breaking generative model of a simple-cell/complex-cell hierarchy., , and . SSIAI, page 89-92. IEEE Computer Society, (2012)Cellular Automata for Distributed Sensor Networks., , and . Int. J. High Perform. Comput. Appl., 22 (2): 167-176 (2008)Dynamic imaging of brain function: toward convergence with neural network simulation., , , , , and . ISBI, page 1059-1062. IEEE, (2002)If you've trained one you've trained them all: inter-architecture similarity increases with robustness., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 928-937. PMLR, (2022)Sampling binary sparse coding QUBO models using a spiking neuromorphic processor., , , and . ICONS, page 38:1-38:5. ACM, (2023)LCANets: Lateral Competition Improves Robustness Against Corruption and Attack., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 21232-21252. PMLR, (2022)Generating Sparse Representations Using Quantum Annealing: Comparison to Classical Algorithms., , and . ICRC, page 1-6. IEEE, (2017)Can Deep Learning Learn the Principle of Closed Contour Detection?, , and . ISVC, volume 11241 of Lecture Notes in Computer Science, page 455-460. Springer, (2018)