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A key requirement for the development of effective learning representations is their evaluation and comparison to representations we know to be effective.
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Invariant Face and Object Recognition in the Visual System
G Wallis and ET Rolls · 1997
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Rapid categorization of natural images by rhesus monkeys
M Fabre-Thorpe, G Richard, and SJ Thorpe · 1998
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Effects of shape-discrimination training on the selectivity of inferotemporal cells in adult monkeys
E Kobatake, G Wang, and K Tanaka · 1998
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The connection between regularization operators and support vector kernels
AJ Smola, B Schölkopf, and KR Müller · 1998
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M Riesenhuber and T Poggio · 1999
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Towards a computational model for object recognition in IT cortex
DG Lowe · 2000
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Impact of learning on representation of parts and wholes in monkey inferotemporal cortex
CI Baker, M Behrmann, and CR Olson · 2002
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Visual categorization shapes feature selectivity in the primate temporal cortex
N Sigala and NK Logothetis · 2002
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Invariant Object Recognition in the Visual System with Novel Views of 3D Objects
SM Stringer and ET Rolls · 2002
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Organization of Visual Areas in Macaque and Human Cerebral Cortex
DC Van Essen · 2003
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Distinctive Image Features from Scale-Invariant Keypoints
DG Lowe · 2004
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Fast readout of object identity from macaque inferior temporal cortex
CP Hung, G Kreiman, T Poggio, and JJ DiCarlo · 2005
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Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
ML Braun · 2006
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Complete functional characterization of sensory neurons by system identification
MC Wu, SV David, and JL Gallant · 2006
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Object category structure in response patterns of neuronal population in monkey inferior temporal cortex
R Kiani, H Esteky, K Mirpour, and K Tanaka · 2007
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The role of context in object recognition
A Oliva and A Torralba · 2007
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Robust Object Recognition with Cortex-Like Mechanisms
T Serre, L Wolf, S Bileschi, M Riesenhuber, and T Poggio · 2007
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Kernel Analysis of Deep Networks
G Montavon, ML Braun, and KR Müller · 2011
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Beyond simple features: A large-scale feature search approach to unconstrained face recognition
N Pinto and D Cox · 2011
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Comparing state-of-the-art visual features on invariant object recognition tasks
N Pinto, Y Barhomi, DD Cox, and JJ DiCarlo · 2011
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How advances in neural recording affect data analysis
IH Stevenson and KP Kording · 2011
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Object decoding with attention in inferior temporal cortex
Y Zhang, EM Meyers, NP Bichot, T Serre, T Poggio, and R Desimone · 2011
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Neural population dynamics during reaching
MM Churchland, JP Cunningham, MT Kaufman, JD Foster, P Nuyujukian, SI Ryu, and KV Shenoy · 2012
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On relevant dimensions in kernel feature spaces
ML Braun, JM Buhmann, and KR Müller · 2008
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Higher order visual processing in macaque extrastriate cortex
GA Orban · 2008
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Why is Real-World Visual Object Recognition Hard?
N Pinto, David D Cox, and JJ DiCarlo · 2008
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A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
N Pinto, D Doukhan, JJ DiCarlo, and DD Cox · 2009
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Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies
RT Canolty, K Ganguly, SW Kennerley, CF Cadieu, K Koepsell, JD Wallis, and JM Carmena · 2010
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Unsupervised Natural Visual Experience Rapidly Reshapes Size-Invariant Object Representation in Inferior Temporal Cortex
N Li and JJ DiCarlo · 2010
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Emergence of Object-Selective Features in Unsupervised Feature Learning
A Coates, A Karpathy, and A Ng · 2012
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How Does the Brain Solve Visual Object Recognition?
JJ DiCarlo, D Zoccolan, and NC Rust · 2012
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ImageNet classification with deep convolutional neural networks
A Krizhevsky, I Sutskever, and G Hinton · 2012
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Building high-level features using large scale unsupervised learning
QV Le, R Monga, M Devin, K Chen, GS Corrado, J Dean, and AY Ng · 2012
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A unified neuronal population code fully explains human object recognition
N Majaj, H Hong, E Solomon, and JJ DiCarlo · 2012
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Deep Boltzmann Machines and the Centering Trick
G Montavon and KR Müller · 2012
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Categorical, Yet Graded – Single-Image Activation Profiles of Human Category-Selective Cortical Regions
M Mur, DA Ruff, J Bodurka, P De Weerd, PA Bandettini, and N Kriegeskorte · 2012
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Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
IH Stevenson, BM London, ER Oby, and NA Sachs · 2012
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