Pietro Berkes
Pietro Berkes
Unknown affiliation
Verified email at brandeis.edu
Title
Cited by
Cited by
Year
Statistically optimal perception and learning: from behavior to neural representations
J Fiser, P Berkes, G Orbán, M Lengyel
Trends in cognitive sciences 14 (3), 119-130, 2010
6352010
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment
P Berkes, G Orbán, M Lengyel, J Fiser
Science 331 (6013), 83-87, 2011
6032011
Slow feature analysis yields a rich repertoire of complex cell properties
P Berkes, L Wiskott
Journal of vision 5 (6), 9-9, 2005
3342005
Neural variability and sampling-based probabilistic representations in the visual cortex
G Orbán, P Berkes, J Fiser, M Lengyel
Neuron 92 (2), 530-543, 2016
1472016
Modular toolkit for Data Processing (MDP): a Python data processing framework
T Zito, N Wilbert, L Wiskott, P Berkes
Frontiers in neuroinformatics 2, 8, 2009
1392009
Perceptual decision-making as probabilistic inference by neural sampling
RM Haefner, P Berkes, J Fiser
Neuron 90 (3), 649-660, 2016
1282016
Improved constraints on cosmological parameters from Type Ia supernova data
MC March, R Trotta, P Berkes, GD Starkman, PM Vaudrevange
Monthly Notices of the Royal Astronomical Society 418 (4), 2308-2329, 2011
952011
What is the relation between slow feature analysis and independent component analysis?
T Blaschke, P Berkes, L Wiskott
Neural computation 18 (10), 2495-2508, 2006
622006
Characterizing neural dependencies with copula models
P Berkes, F Wood, J Pillow
Advances in neural information processing systems 21, 129-136, 2008
562008
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields
P Berkes, L Wiskott
Neural computation 18 (8), 1868-1895, 2006
562006
A structured model of video reproduces primary visual cortical organisation
P Berkes, RE Turner, M Sahani
PLoS computational biology 5 (9), e1000495, 2009
462009
Pattern recognition with slow feature analysis
P Berkes
452005
Applying slow feature analysis to image sequences yields a rich repertoire of complex cell properties
P Berkes, L Wiskott
International Conference on Artificial Neural Networks, 81-86, 2002
372002
No evidence for active sparsification in the visual cortex
P Berkes, B White, J Fiser
Advances in neural information processing systems 22, 108-116, 2009
362009
On sparsity and overcompleteness in image models.
P Berkes, RE Turner, M Sahani
NIPS, 89-96, 2007
332007
Slow feature analysis
L Wiskott, P Berkes, M Franzius, H Sprekeler, N Wilbert
Scholarpedia 6 (4), 5282, 2011
302011
Select and Sample-A Model of Efficient Neural Inference and Learning.
JA Shelton, J Bornschein, AS Sheikh, P Berkes, J Lücke
NIPS 24, 2618-2626, 2011
252011
Handwritten digit recognition with nonlinear fisher discriminant analysis
P Berkes
International Conference on Artificial Neural Networks, 285-287, 2005
232005
Is slowness a learning principle of the visual cortex?
L Wiskott, P Berkes
Zoology 106 (4), 373-382, 2003
152003
Analysis and interpretation of quadratic models of receptive fields
P Berkes, L Wiskott
Nature protocols 2 (2), 400, 2007
142007
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Articles 1–20