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Psychlab is a simulated psychology laboratory inside the first-person 3D game world of DeepMind Lab (Beattie et al.
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Psychophysical methods, or how to measure a threshold and why
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Signals in macaque striate cortical neurons that support the perception of glass patterns
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The capacity of visual short-term memory is set both by visual information load and by number of objects
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Convergent evidence for the visual analysis of optic flow through anisotropic attenuation of high spatial frequencies
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Glass pattern studies of local and global processing of contrast variations
Deep neural networks rival the representation of primate it cortex for core visual object recognition
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Deep supervised, but not unsupervised, models may explain it cortical representation
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On computational modeling of visual saliency: Examining what’s right, and what’s left
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JA Wilson, E Switkes, and RL De Valois · 2004
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Interactions between luminance and contrast signals in global form detection
David R Badcock, Colin WG Clifford, and Sieu K Khuu · 2005
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Tracking multiple targets with multifocal attention
Patrick Cavanagh and George A Alvarez · 2005
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The effects of opposite-polarity dipoles on the detection of glass patterns
David Burr and John Ross · 2006
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Microstimulation of macaque area lip affects decision-making in a motion discrimination task
Timothy D Hanks, Jochen Ditterich, and Michael N Shadlen · 2006
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Feature-based attention in visual cortex
John HR Maunsell and Stefan Treue · 2006
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Vernier acuity is normal in migraine, whereas global form and global motion perception are not
Allison M McKendrick, David R Badcock, and Melissa Gurgone · 2006
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Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
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Learning ordinal relationships for mid-level vision
Daniel Zoran, Phillip Isola, Dilip Krishnan, and William T. Freeman · 2015
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Transfer deep reinforcement learning in 3d environments: An empirical study
Devendra Singh Chaplot, Guillaume Lample, Kanthashree Mysore Sathyendra, and Ruslan Salakhutdinov · 2016
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Yan Duan, John Schulman, Xi Chen, Peter L Bartlett, Ilya Sutskever, and Pieter Abbeel · 2016
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Reinforcement learning with unsupervised auxiliary tasks
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z Leibo, David Silver, and Koray Kavukcuoglu · 2016
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Vizdoom: A doom-based ai research platform for visual reinforcement learning
Michał Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, and Wojciech Jaśkowski · 2016
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Intelligent biosphere
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Arnold: An autonomous agent to play fps games
Devendra Singh Chaplot and Guillaume Lample · 2017
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Gated-attention architectures for task-oriented language grounding
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, and Ruslan Salakhutdinov · 2017
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Recurrent environment simulators
Silvia Chiappa, Sébastien Racaniere, Daan Wierstra, and Shakir Mohamed · 2017
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Grounded language learning in a simulated 3d world
Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojtek Czarnecki, Max Jaderberg, Denis Teplyashin, et al · 2017
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Understanding grounded language learning agents
Felix Hill, Karl Moritz Hermann, Phil Blunsom, and Stephen Clark · 2017
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Building machines that learn and think like people
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman · 2017
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Cognitive psychology for deep neural networks: A shape bias case study
Samuel Ritter, David GT Barrett, Adam Santoro, and Matt M Botvinick · 2017
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Feudal networks for hierarchical reinforcement learning
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, and Koray Kavukcuoglu · 2017
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Do deep neural networks suffer from crowding?
Anna Volokitin, Gemma Roig, and Tomaso A Poggio · 2017
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Five factors that guide attention in visual search
Jeremy M Wolfe and Todd S Horowitz · 2017
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Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, and James J DiCarlo · 2018
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