- Investigating the properties of neural network representations in reinforcement learning.Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu & Adam White - 2024 - Artificial Intelligence 330 (C):104100.details
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A comparison of distributed machine learning methods for the support of “many labs” collaborations in computational modeling of decision making.Lili Zhang, Himanshu Vashisht, Andrey Totev, Nam Trinh & Tomas Ward - 2022 - Frontiers in Psychology 13.details
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Cross‐Situational Word Learning With Multimodal Neural Networks.Wai Keen Vong & Brenden M. Lake - 2022 - Cognitive Science 46 (4).details
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The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing.Marcus Tomalin, Bill Byrne, Shauna Concannon, Danielle Saunders & Stefanie Ullmann - 2021 - Ethics and Information Technology 23 (3):419-433.details
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The role of memory consolidation in generalisation of new linguistic information.Jakke Tamminen, Matthew H. Davis, Marjolein Merkx & Kathleen Rastle - 2012 - Cognition 125 (1):107-112.details
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深層学習の哲学的意義.Takayuki Suzuki - 2021 - Kagaku Tetsugaku 53 (2):151-167.details
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Moving beyond content‐specific computation in artificial neural networks.Nicholas Shea - 2021 - Mind and Language 38 (1):156-177.details
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Time-Based Binding as a Solution to and a Limitation for Flexible Cognition.Mehdi Senoussi, Pieter Verbeke & Tom Verguts - 2022 - Frontiers in Psychology 12.details
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Artificial intelligence and modern planned economies: a discussion on methods and institutions.Spyridon Samothrakis - forthcoming - AI and Society:1-12.details
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How to Learn Multiple Tasks.Raffaele Calabretta, Andrea Ferdinanddio, Domenico Parisi & Frank C. Keil - 2008 - Biological Theory 3 (1):30-41.details
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The Epistemology of Forgetting.Kourken Michaelian - 2011 - Erkenntnis 74 (3):399-424.details
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Computational Evidence That Frequency Trajectory Theory Does Not Oppose But Emerges From Age‐of‐Acquisition Theory.Martial Mermillod, Patrick Bonin, Alain Méot, Ludovic Ferrand & Michel Paindavoine - 2012 - Cognitive Science 36 (8):1499-1531.details
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Asymmetric interference in 3‐ to 4‐month‐olds' sequential category learning.Denis Mareschal, Paul C. Quinn & Robert M. French - 2002 - Cognitive Science 26 (3):377-389.details
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CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji & Davide Maltoni - 2022 - Artificial Intelligence 303 (C):103635.details
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Generalization through the recurrent interaction of episodic memories: A model of the hippocampal system.Dharshan Kumaran & James L. McClelland - 2012 - Psychological Review 119 (3):573-616.details
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Neural dynamics of autistic behaviors: Cognitive, emotional, and timing substrates.Stephen Grossberg & Don Seidman - 2006 - Psychological Review 113 (3):483-525.details
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Labels as Features (Not Names) for Infant Categorization: A Neurocomputational Approach.Valentina Gliozzi, Julien Mayor, Jon-Fan Hu & Kim Plunkett - 2009 - Cognitive Science 33 (4):709-738.details
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Lexical competition and the acquisition of novel words.M. Gareth Gaskell & Nicolas Dumay - 2003 - Cognition 89 (2):105-132.details
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Sequential Presentation Protects Working Memory From Catastrophic Interference.Ansgar D. Endress & Szilárd Szabó - 2020 - Cognitive Science 44 (5):e12828.details
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Overnight lexical consolidation revealed by speech segmentation.Nicolas Dumay & M. Gareth Gaskell - 2012 - Cognition 123 (1):119-132.details
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Resonant Dynamics of Grounded Cognition: Explanation of Behavioral and Neuroimaging Data Using the ART Neural Network.Dražen Domijan & Mia Šetić - 2016 - Frontiers in Psychology 7.details
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Analyzing Machine‐Learned Representations: A Natural Language Case Study.Ishita Dasgupta, Demi Guo, Samuel J. Gershman & Noah D. Goodman - 2020 - Cognitive Science 44 (12):e12925.details
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The Now-or-Never bottleneck: A fundamental constraint on language.Morten H. Christiansen & Nick Chater - 2016 - Behavioral and Brain Sciences 39:e62.details
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Squeezing through the Now-or-Never bottleneck: Reconnecting language processing, acquisition, change, and structure.Nick Chater & Morten H. Christiansen - 2016 - Behavioral and Brain Sciences 39:e91.details
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Sparse distributed memory: understanding the speed and robustness of expert memory.Marcelo S. Brogliato, Daniel M. Chada & Alexandre Linhares - 2014 - Frontiers in Human Neuroscience 8.details
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Learning and development in neural networks – the importance of prior experience.Gerry T. M. Altmann - 2002 - Cognition 85 (2):B43-B50.details
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