E. Switkes,et al. Pattern Recognition in Humans: Correlations Which Cannot be Perceived , 1976, Perception.
 Hugh R. Wilson. Development of spatiotemporal mechanisms in infant vision , 1988, Vision Research.
 Z W Pylyshyn,et al. Tracking multiple independent targets: evidence for a parallel tracking mechanism. , 1988, Spatial vision.
 W. Newsome,et al. A selective impairment of motion perception following lesions of the middle temporal visual area (MT) , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.
 W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
 J. Movshon,et al. The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.
 J. Movshon,et al. A relationship between behavioral choice and the visual responses of neurons in macaque MT. , 1996, Visual neuroscience.
 Steven C. Dakin. The detection of structure in glass patterns: Psychophysics and computational models , 1997, Vision Research.
 Edward K. Vogel,et al. The capacity of visual working memory for features and conjunctions , 1997, Nature.
 Peripheral and central factors limiting the development of contrast sensitivity in Macaque monkeys , 1998, Vision Research.
 Yoshua Bengio,et al. Convolutional networks for images, speech, and time series , 1998 .
 H. Wilson,et al. Detection of global structure in Glass patterns: implications for form vision , 1998, Vision Research.
 T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
 C. Koch,et al. A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.
 W. Newsome,et al. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. , 2001, Journal of neurophysiology.
 Z. Pylyshyn. Visual indexes, preconceptual objects, and situated vision , 2001, Cognition.
 J. Movshon,et al. Signals in Macaque Striate Cortical Neurons that Support the Perception of Glass Patterns , 2002, The Journal of Neuroscience.
 Robert A. Jacobs,et al. Comparing perceptual learning across tasks: A review , 2002 .
 J. A Wilson,et al. Glass pattern studies of local and global processing of contrast variations , 2004, Vision Research.
 H. Barlow,et al. Convergent evidence for the visual analysis of optic flow through anisotropic attenuation of high spatial frequencies. , 2004, Journal of vision.
 P. Cavanagh,et al. The Capacity of Visual Short-Term Memory is Set Both by Visual Information Load and by Number of Objects , 2004, Psychological science.
 David R. Badcock,et al. Interactions between luminance and contrast signals in global form detection , 2005, Vision Research.
 P. Cavanagh,et al. Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.
 D. Badcock,et al. Vernier acuity is normal in migraine, whereas global form and global motion perception are not. , 2006, Investigative ophthalmology & visual science.
 D. Burr,et al. The effects of opposite-polarity dipoles on the detection of Glass patterns , 2006, Vision Research.
 Timothy D. Hanks,et al. Microstimulation of macaque area LIP affects decision-making in a motion discrimination task , 2006, Nature Neuroscience.
 Thomas Serre,et al. A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.
 E. Vogel,et al. Visual Working Memory Represents a Fixed Number of Items Regardless of Complexity , 2007, Psychological science.
 S. Luck,et al. Discrete fixed-resolution representations in visual working memory , 2008, Nature.
 Aude Oliva,et al. Visual long-term memory has a massive storage capacity for object details , 2008, Proceedings of the National Academy of Sciences.
 Aaron R. Seitz,et al. What a difference a parameter makes: A psychophysical comparison of random dot motion algorithms , 2009, Vision Research.
 Colin W. G. Clifford,et al. Discrimination of the local orientation structure of spiral Glass patterns early in human visual cortex , 2009, NeuroImage.
 Maryam Vaziri Pashkam,et al. Spatial Heterogeneity in the Perception of Face and Form Attributes , 2010, Current Biology.
 M. Goldberg,et al. Attention, intention, and priority in the parietal lobe. , 2010, Annual review of neuroscience.
 E. Vogel,et al. Quantity, not quality: the relationship between fluid intelligence and working memory capacity , 2010, Psychonomic bulletin & review.
 Brian J. Spiering,et al. A Critical Review of Habit Learning and the Basal Ganglia , 2011, Front. Syst. Neurosci..
 E. Vogel,et al. Visual working memory capacity: from psychophysics and neurobiology to individual differences , 2013, Trends in Cognitive Sciences.
 Daniel L. K. Yamins,et al. Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition , 2014, PLoS Comput. Biol..
 Roozbeh Kiani,et al. A neural mechanism of speed-accuracy tradeoff in macaque area LIP , 2014, eLife.
 Nikolaus Kriegeskorte,et al. Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation , 2014, PLoS Comput. Biol..
 John K. Tsotsos,et al. On computational modeling of visual saliency: Examining what’s right, and what’s left , 2015, Vision Research.
 Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
 Alex Graves,et al. DRAW: A Recurrent Neural Network For Image Generation , 2015, ICML.
 William T. Freeman,et al. Learning Ordinal Relationships for Mid-Level Vision , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
 Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
 Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
 Joshua B. Tenenbaum,et al. Building machines that learn and think like people , 2016, Behavioral and Brain Sciences.
 Peter L. Bartlett,et al. RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning , 2016, ArXiv.
 Wojciech Jaskowski,et al. ViZDoom: A Doom-based AI research platform for visual reinforcement learning , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
 Demis Hassabis,et al. Grounded Language Learning in a Simulated 3D World , 2017, ArXiv.
 Tom Schaul,et al. FeUdal Networks for Hierarchical Reinforcement Learning , 2017, ICML.
 J. Wolfe,et al. Five factors that guide attention in visual search , 2017, Nature Human Behaviour.
 Samuel Ritter,et al. Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study , 2017, ICML.
 Stephen Clark,et al. Understanding Early Word Learning in Situated Artificial Agents , 2017 .
 Tom Schaul,et al. Reinforcement Learning with Unsupervised Auxiliary Tasks , 2017, ICLR.
 Ruslan Salakhutdinov,et al. Gated-Attention Architectures for Task-Oriented Language Grounding , 2017, AAAI.