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Laurenz Wiskott

Showing results (1-10 of 43) with videos related to

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Neural Computation|September 10, 2003
Slow feature analysis: a theoretical analysis of optimal free responsesLaurenz Wiskott
Neural Computation|June 15, 2006
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fieldsPietro Berkes, Laurenz Wiskott
Neural Computation|September 19, 2023
A Tutorial on the Spectral Theory of Markov ChainsEddie Seabrook, Laurenz Wiskott
Frontiers in Computational Neuroscience|June 9, 2015
Modeling place field activity with hierarchical slow feature analysisFabian Schönfeld, Laurenz Wiskott
Frontiers in Computational Neuroscience|August 3, 2013
RatLab: an easy to use tool for place code simulationsFabian Schönfeld, Laurenz Wiskott
Zoology (Jena, Germany)|December 15, 2005
Is slowness a learning principle of the visual cortex?Laurenz Wiskott, Pietro Berkes
Journal of Vision|August 16, 2005
Slow feature analysis yields a rich repertoire of complex cell propertiesPietro Berkes, Laurenz Wiskott
Neural Computation|November 26, 2010
A theory of slow feature analysis for transformation-based input signals with an application to complex cellsHenning Sprekeler, Laurenz Wiskott
Neural Computation|March 23, 2018
Slowness as a Proxy for Temporal Predictability: An Empirical ComparisonBjörn Weghenkel, Laurenz Wiskott
Nature Protocols|April 5, 2007
Analysis and interpretation of quadratic models of receptive fieldsPietro Berkes, Laurenz Wiskott
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Neural Computation|September 10, 2003
Slow feature analysis: a theoretical analysis of optimal free responsesLaurenz Wiskott
Neural Computation|June 15, 2006
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fieldsPietro Berkes, Laurenz Wiskott
Neural Computation|September 19, 2023
A Tutorial on the Spectral Theory of Markov ChainsEddie Seabrook, Laurenz Wiskott
Frontiers in Computational Neuroscience|June 9, 2015
Modeling place field activity with hierarchical slow feature analysisFabian Schönfeld, Laurenz Wiskott
Frontiers in Computational Neuroscience|August 3, 2013
RatLab: an easy to use tool for place code simulationsFabian Schönfeld, Laurenz Wiskott
Zoology (Jena, Germany)|December 15, 2005
Is slowness a learning principle of the visual cortex?Laurenz Wiskott, Pietro Berkes
Journal of Vision|August 16, 2005
Slow feature analysis yields a rich repertoire of complex cell propertiesPietro Berkes, Laurenz Wiskott
Neural Computation|November 26, 2010
A theory of slow feature analysis for transformation-based input signals with an application to complex cellsHenning Sprekeler, Laurenz Wiskott
Neural Computation|March 23, 2018
Slowness as a Proxy for Temporal Predictability: An Empirical ComparisonBjörn Weghenkel, Laurenz Wiskott
Nature Protocols|April 5, 2007
Analysis and interpretation of quadratic models of receptive fieldsPietro Berkes, Laurenz Wiskott
Pageof 5