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Saeed Reza Kheradpisheh et al.
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Maxime Cauchoix et al.
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Najib J. Majaj et al.
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Rishi Rajalingham et al.
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Deep learning in neural networks: An overview
Juergen Schmidhuber
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Detection guided deconvolutional network for hierarchical feature learning
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Gergo Sastyin et al.
ATTENTION PERCEPTION & PSYCHOPHYSICS (2015)
Detecting meaning in RSVP at 13 ms per picture
Mary C. Potter et al.
ATTENTION PERCEPTION & PSYCHOPHYSICS (2014)
Neural Networks and Neuroscience-Inspired Computer Vision
David Daniel Cox et al.
CURRENT BIOLOGY (2014)
Reaction Time for Object Categorization Is Predicted by Representational Distance
Thomas A. Carlson et al.
JOURNAL OF COGNITIVE NEUROSCIENCE (2014)
The dynamics of invariant object recognition in the human visual system
Leyla Isik et al.
JOURNAL OF NEUROPHYSIOLOGY (2014)
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel L. K. Yamins et al.
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Hamed Nili et al.
PLOS COMPUTATIONAL BIOLOGY (2014)
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
Charles F. Cadieu et al.
PLOS COMPUTATIONAL BIOLOGY (2014)
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
Seyed-Mahdi Khaligh-Razavi et al.
PLOS COMPUTATIONAL BIOLOGY (2014)
Multifeatural Shape Processing in Rats Engaged in Invariant Visual Object Recognition
Alireza Alemi-Neissi et al.
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Representational dynamics of object vision: The first 1000 ms
Thomas Carlson et al.
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Top-down influences on visual processing
Charles D. Gilbert et al.
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Representational geometry: integrating cognition, computation, and the brain
Nikolaus Kriegeskorte et al.
TRENDS IN COGNITIVE SCIENCES (2013)
Object recognition in congruent and incongruent natural scenes: A life-span study
F. Remy et al.
VISION RESEARCH (2013)
Recurrent processing during object recognition
Randall C. O'Reilly et al.
FRONTIERS IN PSYCHOLOGY (2013)
Human object-similarity judgments reflect and transcend the primate-IT object representation
Marieke Mur et al.
FRONTIERS IN PSYCHOLOGY (2013)
The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded
Dean Wyatte et al.
JOURNAL OF COGNITIVE NEUROSCIENCE (2012)
Learning selective top-down control enhances performance in a visual categorization task
Mario Pannunzi et al.
JOURNAL OF NEUROPHYSIOLOGY (2012)
How Does the Brain Solve Visual Object Recognition?
James J. DiCarlo et al.
NEURON (2012)
How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?
Masoud Ghodrati et al.
PLOS ONE (2012)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
The timing of visual object categorization
Michael L. Mack et al.
FRONTIERS IN PSYCHOLOGY (2011)
The characteristics and limits of rapid visual categorization
Michele Fabre-Thorpe
FRONTIERS IN PSYCHOLOGY (2011)
On the limits of feed-forward processing in visual object recognition
G. Kreiman et al.
JOURNAL OF VISION (2010)
A neural model of the temporal dynamics of figure-ground segregation in motion perception
Florian Raudies et al.
NEURAL NETWORKS (2010)
Functional Compartmentalization and Viewpoint Generalization Within the Macaque Face-Processing System
Winrich A. Freiwald et al.
SCIENCE (2010)
Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex
Hesheng Liu et al.
NEURON (2009)
Early interference of context congruence on object processing in rapid visual categorization of natural scenes
Olivier R. Joubert et al.
JOURNAL OF VISION (2008)
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
Nikolaus Kriegeskorte et al.
NEURON (2008)
Why is real-world visual object recognition hard?
Nicolas Pinto et al.
PLOS COMPUTATIONAL BIOLOGY (2008)
The role of context in object recognition
Aude Oliva et al.
TRENDS IN COGNITIVE SCIENCES (2007)
Untangling invariant object recognition
James J. DiCarlo et al.
TRENDS IN COGNITIVE SCIENCES (2007)
Object category structure in response patterns of neuronal population in monkey inferior temporal cortex
Roozbeh Kiani et al.
JOURNAL OF NEUROPHYSIOLOGY (2007)
A feedforward architecture accounts for rapid categorization
Thomas Serre et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
Robust object recognition with cortex-like mechanisms
Thomas Serre et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)
Unsupervised learning of visual features through spike timing dependent plasticity
Timothee Masquelier et al.
PLOS COMPUTATIONAL BIOLOGY (2007)
Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited
Holle Kirchner et al.
VISION RESEARCH (2006)
A cortical region consisting entirely of face-selective cells
DY Tsao et al.
SCIENCE (2006)
Fast readout of object identity from macaque inferior temporal cortex
CP Hung et al.
SCIENCE (2005)
Faces and objects in macaque cerebral cortex
DY Tsao et al.
NATURE NEUROSCIENCE (2003)
Masking interrupts figure-ground signals in V1
VAF Lamme et al.
JOURNAL OF COGNITIVE NEUROSCIENCE (2002)
Figure-ground segregation in a recurrent network architecture
PR Roelfsema et al.
JOURNAL OF COGNITIVE NEUROSCIENCE (2002)
The time course of visual processing: From early perception to decision-making
R VanRullen et al.
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The distinct modes of vision offered by feedforward and recurrent processing
VAF Lamme et al.
TRENDS IN NEUROSCIENCES (2000)