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On a collection of real-world data sets we compare the features extracted by slow feature analysis (SFA) to the features of three recently proposed methods for predictable feature extraction: forecastable component analysis, predictable feature analysis, and graph-based predictable feature analysis. Our experiments show that the predictability of the learned features is highly correlated, and, thus, SFA appears to effectively implement a method for extracting predictable features according to different measures of predictability. <\/jats:p>","DOI":"10.1162\/neco_a_01070","type":"journal-article","created":{"date-parts":[[2018,3,22]],"date-time":"2018-03-22T21:42:04Z","timestamp":1521754924000},"page":"1151-1179","source":"Crossref","is-referenced-by-count":7,"title":["Slowness as a Proxy for Temporal Predictability: An Empirical Comparison"],"prefix":"10.1162","volume":"30","author":[{"given":"Bj\u00f6rn","family":"Weghenkel","sequence":"first","affiliation":[{"name":"Institut f\u00fcr Neuroinformatik, Ruhr-Universit\u00e4t, 44801 Bochum, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurenz","family":"Wiskott","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Neuroinformatik, Ruhr-Universit\u00e4t, 44801 Bochum, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2015.17"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00121-1"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3912"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1167\/5.6.9"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1162\/089976601753195969"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.2307\/2005662"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.01.051"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.01-07-455"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_5"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-005-0585-8"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2011.72"},{"issue":"4","key":"B12","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s13218-012-0190-7","volume":"26","author":"Escalante-B. 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