Related references
Note: Only part of the references are listed.Learning transform invariant object recognition in the visual system with multiple stimuli present during training
S. M. Stringer et al.
NEURAL NETWORKS (2008)
Describing visual scenes using transformed objects and parts
Erik B. Sudderth et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2008)
Excitatory and suppressive receptive field subunits in awake monkey primary visual cortex (V1)
Xiaodong Chen et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields
Martin Rehn et al.
JOURNAL OF COMPUTATIONAL NEUROSCIENCE (2007)
Soft mixer assignment in a hierarchical generative model of natural scene statistics
Odelia Schwartz et al.
NEURAL COMPUTATION (2006)
Vision as Bayesian inference: analysis by synthesis?
Alan Yuille et al.
TRENDS IN COGNITIVE SCIENCES (2006)
Orientation-restricted continuous visual exposure induces marked reorganization of orientation maps in early life
S Tanaka et al.
NEUROIMAGE (2006)
Spike-triggered neural characterization
Odelia Schwartz et al.
JOURNAL OF VISION (2006)
Learning viewpoint invariant object representations using a temporal coherence principle
W Einhäuser et al.
BIOLOGICAL CYBERNETICS (2005)
Spatiotemporal elements of macaque V1 receptive fields
NC Rust et al.
NEURON (2005)
Is the early visual system optimised to be energy efficient?
BT Vincent et al.
NETWORK-COMPUTATION IN NEURAL SYSTEMS (2005)
A theory of cortical responses
KJ Friston
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2005)
Spatial structure of complex cell receptive fields measured with natural images
J Touryan et al.
NEURON (2005)
A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals
KL Yan et al.
NEURAL COMPUTATION (2005)
Slow feature analysis yields a rich repertoire of complex cell properties
P Berkes et al.
JOURNAL OF VISION (2005)
Bilinear sparse coding for invariant vision
DB Grimes et al.
NEURAL COMPUTATION (2005)
How are complex cell properties adapted to the statistics of natural stimuli?
KP Kording et al.
JOURNAL OF NEUROPHYSIOLOGY (2004)
Greedy learning of multiple objects in images using robust statistics and factorial learning
CKI Williams et al.
NEURAL COMPUTATION (2004)
The world from a cat's perspective - statistics of natural videos
BY Betsch et al.
BIOLOGICAL CYBERNETICS (2004)
Hierarchical Bayesian inference in the visual cortex
TS Lee et al.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION (2003)
Slow feature analysis: Unsupervised learning of invariances
L Wiskott et al.
NEURAL COMPUTATION (2002)
On the classification of simple and complex cells
F Mechler et al.
VISION RESEARCH (2002)
Opponent inhibition: A developmental model of layer 4 of the neocortical circuit
AS Kayser et al.
NEURON (2002)
Natural signal statistics and sensory gain control
O Schwartz et al.
NATURE NEUROSCIENCE (2001)
The exploitation of regularities in the environment by the brain
H Barlow
BEHAVIORAL AND BRAIN SCIENCES (2001)
Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces
A Hyvärinen et al.
NEURAL COMPUTATION (2000)
Separating style and content with bilinear models
JB Tenenbaum et al.
NEURAL COMPUTATION (2000)
Share Paper
