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Improvement of Concentration of Numeracy by Mozart Effect., , , , и . BICT, ICST, (2014)Neocognitron trained by winner-kill-loser with triple threshold., , и . Neurocomputing, (2014)Visually-guided adaptive robot (ViGuAR)., , , , , , , , , и 3 other автор(ы). IJCNN, стр. 2944-2951. IEEE, (2011)Recognition for Switching of Feedback and Feedforward Process in Motor internal model., , , и . BICT, стр. 245-246. ICST/ACM, (2015)KInNeSS: A Modular Framework for Computational Neuroscience., , , , и . Neuroinformatics, 6 (4): 291-309 (2008)An Analysis for Switching of Feedback and Feedforward Mechanism in Motor Internal Model., , , и . SCIS&ISIS, стр. 570-575. IEEE, (2016)A Probabilistic WKL Rule for Incremental Feature Learning and Pattern Recognition., , и . J. Adv. Comput. Intell. Intell. Informatics, 18 (4): 672-681 (2014)Online learning of feature detectors from natural images with the probabilistic WKL rule., , и . SCIS&ISIS, стр. 177-182. IEEE, (2012)From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain., , , , , , , , , и 2 other автор(ы). Computer, 44 (2): 21-28 (2011)Neocognitron Trained by Winner-Kill-Loser with Triple Threshold., , и . ICONIP (2), том 7063 из Lecture Notes in Computer Science, стр. 628-637. Springer, (2011)