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Learning a Continuous Attractor Neural Network from Real Images., , , , , и . ICONIP (4), том 10637 из Lecture Notes in Computer Science, стр. 622-631. Springer, (2017)Encoding Multisensory Information in Modular Neural Networks., , , и . ICONIP (4), том 10637 из Lecture Notes in Computer Science, стр. 658-665. Springer, (2017)The Ideal Noisy Environment for Fast Neural Computation., , и . ISNN (1), том 3971 из Lecture Notes in Computer Science, стр. 1-6. Springer, (2006)A new distributed and dynamic call admission policy for mobile wireless networks with QOS guarantee., , и . PIMRC, стр. 260-264. IEEE, (1998)Improving pedestrian detection with selective gradient self-similarity feature., , и . Pattern Recognit., 48 (8): 2364-2376 (2015)Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility., , , и . Neural Comput., 24 (5): 1147-1185 (2012)Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition., , и . Comput. Math. Methods Medicine, (2013)A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks., , и . Neural Comput., 22 (3): 752-792 (2010)Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering., , , и . IEEE Trans. Neural Networks Learn. Syst., 30 (2): 355-368 (2019)Joint subspace and discriminative learning for self-paced domain adaptation., , , , , , и . Knowl. Based Syst., (2020)