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Temporal slowness as an unsupervised learning principle. HU Berlin, Germany, (2006)base-search.net (fthuberlin:oai:edoc.hu-berlin.de:18452/16066).Characterizing neural dependencies with copula models., , и . NIPS, стр. 129-136. Curran Associates, Inc., (2008)Statistically optimal perception and learning: from behavior to neural representations, , , и . Trends in Cognitive Sciences, 14 (3): 119--130 (12.03.2010)On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields, и . (февраля 2005)No evidence for active sparsification in the visual cortex., , и . NIPS, стр. 108-116. Curran Associates, Inc., (2009)Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis.. ICANN (2), том 3697 из Lecture Notes in Computer Science, стр. 285-287. Springer, (2005)Slow feature analysis yields a rich repertoire of complex cell properties, и . Journal of Vision, 5 (6): 579--602 (июля 2005)Discovering Customer Journey Maps using a Mixture of Markov Models., , , , и . SIMPDA, том 2016 из CEUR Workshop Proceedings, стр. 3-7. CEUR-WS.org, (2017)Pattern Recognition with Slow Feature Analysis. (2005)Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment, , , и . Science, 331 (6013): 83--87 (07.01.2011)