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Radoslaw M. Cichy et al.
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Matthew Botvinick et al.
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Kaichun Mo et al.
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Guosheng Hu et al.
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Hironori Hattori et al.
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Nikolaus Mayer et al.
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Hassan Abu Alhaija et al.
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S. M. Ali Eslami et al.
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Brenden M. Lake et al.
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Demis Hassabis et al.
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James Kirkpatricka et al.
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Zhaoliang Lun et al.
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Elena Sizikova et al.
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Joseph Cichon et al.
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Volodymyr Mnih et al.
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Catalin Ionescu et al.
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Daniel L. K. Yamins et al.
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Seyed-Mahdi Khaligh-Razavi et al.
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Jamie Shotton et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Simulation as an engine of physical scene understanding
Peter W. Battaglia et al.
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Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats
Kevin Lloyd et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2012)
Symmetry Hierarchy of Man-Made Objects
Y. Wang et al.
COMPUTER GRAPHICS FORUM (2011)
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C. Fernandez et al.
PATTERN RECOGNITION LETTERS (2011)
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Ashutosh Saxena et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2008)
Core knowledge
Elizabeth S. Spelke et al.
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The development of embodied cognition: Six lessons from babies
L Smith et al.
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PF Felzenszwalb et al.
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Immersive virtual environment technology as a methodological tool for social psychology
J Blascovich et al.
PSYCHOLOGICAL INQUIRY (2002)
Degeneracy and complexity in biological systems
GM Edelman et al.
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