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Neural Computation|September 19, 2023
A Tutorial on the Spectral Theory of Markov ChainsEddie Seabrook, Laurenz WiskottNeuroscience and Biobehavioral Reviews|May 13, 2023
A map of spatial navigation for neuroscienceEloy Parra-Barrero, Sandhiya Vijayabaskaran, Eddie Seabrook, 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 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 BerkesJournal of Vision|August 16, 2005
Slow feature analysis yields a rich repertoire of complex cell propertiesPietro Berkes, Laurenz WiskottNeural Computation|November 26, 2010
A theory of slow feature analysis for transformation-based input signals with an application to complex cellsHenning Sprekeler, Laurenz WiskottNeural Computation|March 23, 2018
Slowness as a Proxy for Temporal Predictability: An Empirical ComparisonBjörn Weghenkel, Laurenz WiskottPageof 5