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Plos Computational Biology|September 3, 2010
Reinforcement learning on slow features of high-dimensional input streamsRobert Legenstein, Niko Wilbert, Laurenz WiskottNeural Computation|June 16, 2011
Invariant object recognition and pose estimation with slow feature analysisMathias Franzius, Niko Wilbert, Laurenz WiskottPlos Computational Biology|May 10, 2014
Slow feature analysis on retinal waves leads to V1 complex cellsSven Dähne, Niko Wilbert, Laurenz WiskottFrontiers in Neuroinformatics|January 27, 2009
Modular Toolkit for Data Processing (MDP): A Python Data Processing FrameworkTiziano Zito, Niko Wilbert, Laurenz Wiskott, et al.Neural Computation|September 10, 2003
Slow feature analysis: a theoretical analysis of optimal free responsesLaurenz WiskottNeural Computation|June 15, 2006
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fieldsPietro Berkes, Laurenz WiskottNeural Computation|September 19, 2023
A Tutorial on the Spectral Theory of Markov ChainsEddie Seabrook, Laurenz WiskottFrontiers in Computational Neuroscience|June 9, 2015
Modeling place field activity with hierarchical slow feature analysisFabian Schönfeld, Laurenz WiskottFrontiers in Computational Neuroscience|August 3, 2013
RatLab: an easy to use tool for place code simulationsFabian Schönfeld, Laurenz WiskottZoology (Jena, Germany)|December 15, 2005
Is slowness a learning principle of the visual cortex?Laurenz Wiskott, Pietro BerkesPageof 9