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Pietro Berkes

Showing results (1-10 of 11) with videos related to

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Neural Computation|June 15, 2006
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fieldsPietro Berkes, Laurenz Wiskott
Nature Protocols|April 5, 2007
Analysis and interpretation of quadratic models of receptive fieldsPietro Berkes, 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|August 16, 2006
What is the relation between slow feature analysis and independent component analysis?Tobias Blaschke, Pietro Berkes, Laurenz Wiskott
Neuron|May 6, 2016
Perceptual Decision-Making as Probabilistic Inference by Neural SamplingRalf M Haefner, Pietro Berkes, József Fiser
Plos Computational Biology|September 5, 2009
A structured model of video reproduces primary visual cortical organisationPietro Berkes, Richard E Turner, Maneesh Sahani
Trends in Cognitive Sciences|February 16, 2010
Statistically optimal perception and learning: from behavior to neural representationsJózsef Fiser, Pietro Berkes, Gergo Orbán, et al.
Science (New York, N.Y.)|January 8, 2011
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environmentPietro Berkes, Gergo Orbán, Máté Lengyel, et al.
Neuron|October 21, 2016
Neural Variability and Sampling-Based Probabilistic Representations in the Visual CortexGergő Orbán, Pietro Berkes, József Fiser, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neural Computation|June 15, 2006
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fieldsPietro Berkes, Laurenz Wiskott
Nature Protocols|April 5, 2007
Analysis and interpretation of quadratic models of receptive fieldsPietro Berkes, 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|August 16, 2006
What is the relation between slow feature analysis and independent component analysis?Tobias Blaschke, Pietro Berkes, Laurenz Wiskott
Neuron|May 6, 2016
Perceptual Decision-Making as Probabilistic Inference by Neural SamplingRalf M Haefner, Pietro Berkes, József Fiser
Plos Computational Biology|September 5, 2009
A structured model of video reproduces primary visual cortical organisationPietro Berkes, Richard E Turner, Maneesh Sahani
Trends in Cognitive Sciences|February 16, 2010
Statistically optimal perception and learning: from behavior to neural representationsJózsef Fiser, Pietro Berkes, Gergo Orbán, et al.
Science (New York, N.Y.)|January 8, 2011
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environmentPietro Berkes, Gergo Orbán, Máté Lengyel, et al.
Neuron|October 21, 2016
Neural Variability and Sampling-Based Probabilistic Representations in the Visual CortexGergő Orbán, Pietro Berkes, József Fiser, et al.
Pageof 2