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(2 other versions)The Rise of Cognitive Science in the 20th Century.Carrie Figdor - 2017 - In Amy Kind (ed.), Philosophy of Mind in the Twentieth and Twenty-First Centuries: The History of the Philosophy of Mind, Volume 6. New York: Routledge. pp. 280-302.details
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The psychology of connectionism.Dominic W. Massaro - 1990 - Behavioral and Brain Sciences 13 (2):403-406.details
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Level of analysis is not a central issue.James A. Reggia - 1990 - Behavioral and Brain Sciences 13 (2):406-407.details
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Smolensky's theory of mind.Paul F. M. J. Verschure - 1990 - Behavioral and Brain Sciences 13 (2):407-407.details
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Value, variable, and coarse coding by posterior parietal neurons.Richard A. Andersen - 1986 - Behavioral and Brain Sciences 9 (1):90-91.details
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Value encoding of patterns and variable encoding of transformations?John C. Baird - 1986 - Behavioral and Brain Sciences 9 (1):91-92.details
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Computational neuroscience.Terrence J. Sejnowski - 1986 - Behavioral and Brain Sciences 9 (1):104-105.details
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Connectionist value units: Some concerns.John A. Barnden - 1986 - Behavioral and Brain Sciences 9 (1):92-93.details
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The notions of joint stiffness and synaptic plasticity in motor memory.Lev P. Latash & Mark L. Latash - 1996 - Behavioral and Brain Sciences 19 (3):465-466.details
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What has to be learned in motor learning?Harold Bekkering, Detlef Heck & Fahad Sultan - 1996 - Behavioral and Brain Sciences 19 (3):436-437.details
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Computational Modeling in Cognitive Science: A Manifesto for Change.Caspar Addyman & Robert M. French - 2012 - Topics in Cognitive Science 4 (3):332-341.details
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Psychology in Cognitive Science: 1978–2038.Dedre Gentner - 2010 - Topics in Cognitive Science 2 (3):328-344.details
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Enaction-based artificial intelligence: Toward co-evolution with humans in the loop. [REVIEW]Pierre De Loor, Kristen Manac’H. & Jacques Tisseau - 2009 - Minds and Machines 19 (3):319-343.details
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Why not artificial consciousness or thought?Richard H. Schlagel - 1999 - Minds and Machines 9 (1):3-28.details
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Unnatural Images: On AI-Generated Photographs.Amanda Wasielewski - 2024 - Critical Inquiry 51 (1):1-29.details
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Manipulating and measuring variation in deep neural network (DNN) representations of objects.Jason K. Chow & Thomas J. Palmeri - 2024 - Cognition 252 (C):105920.details
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The shift of Artificial Intelligence research from academia to industry: implications and possible future directions.Miguel Angelo de Abreu de Sousa - forthcoming - AI and Society:1-10.details
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Linguistic Competence and New Empiricism in Philosophy and Science.Vanja Subotić - 2023 - Dissertation, University of Belgradedetails
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Philosophers Ought to Develop, Theorize About, and Use Philosophically Relevant AI.Graham Clay & Caleb Ontiveros - 2023 - Metaphilosophy 54 (4):463-479.details
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Autonomous Systems and the Place of Biology Among Sciences. Perspectives for an Epistemology of Complex Systems.Leonardo Bich - 2021 - In Gianfranco Minati (ed.), Multiplicity and Interdisciplinarity. Essays in Honor of Eliano Pessa. Springer. pp. 41-57.details
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Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.details
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What Do Technology and Artificial Intelligence Mean Today?Scott H. Hawley & Elias Kruger - forthcoming - In Hector Fernandez (ed.), Sociedad Tecnológica y Futuro Humano, vol. 1: Desafíos conceptuales. pp. 17.details
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(1 other version)Rethinking Causation for Data‐intensive Biology: Constraints, Cancellations, and Quantized Organisms.Douglas E. Brash - 2020 - Bioessays 42 (7):1900135.details
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Seven properties of self-organization in the human brain.Birgitta Dresp-Langley - 2020 - Big Data and Cognitive Computing 2 (4):10.details
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Transparency in Complex Computational Systems.Kathleen A. Creel - 2020 - Philosophy of Science 87 (4):568-589.details
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(1 other version)Exploring Minds: Modes of Modeling and Simulation in Artificial Intelligence.Hajo Greif - 2021 - Perspectives on Science 29 (4):409-435.details
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The Unbearable Shallow Understanding of Deep Learning.Alessio Plebe & Giorgio Grasso - 2019 - Minds and Machines 29 (4):515-553.details
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The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.details
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The Fallacy of the Homuncular Fallacy.Carrie Figdor - 2018 - Belgrade Philosophical Annual 31 (31):41-56.details
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Objections to Computationalism: A Survey.Marcin Miłkowski - 2018 - Roczniki Filozoficzne 66 (3):57-75.details
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Building machines that learn and think like people.Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum & Samuel J. Gershman - 2017 - Behavioral and Brain Sciences 40.details
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Why think that the brain is not a computer?Marcin Miłkowski - 2016 - APA Newsletter on Philosophy and Computers 16 (2):22-28.details
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The Dynamics of Perceptual Learning: An Incremental Reweighting Model.Alexander A. Petrov, Barbara Anne Dosher & Zhong-Lin Lu - 2005 - Psychological Review 112 (4):715-743.details
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Brain activity and cognition: a connection from thermodynamics and information theory.Guillem Collell & Jordi Fauquet - 2015 - Frontiers in Psychology 6.details
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Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition.Timothy T. Rogers & James L. McClelland - 2014 - Cognitive Science 38 (6):1024-1077.details
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The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers.Matthew M. Botvinick - 2014 - Cognitive Science 38 (6):1249-1285.details
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Long-term changes of synaptic transmission: A topic of long-term interest.Paolo Calabresi, Antonio Pisani & Giorgio Bernardi - 1996 - Behavioral and Brain Sciences 19 (3):439-440.details
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A bridge between cerebellar long-term depression and discrete motor learning: Studies on gene knockout mice.Masanobu Kano - 1996 - Behavioral and Brain Sciences 19 (3):488-490.details
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Further evidence for the involvement of nitric oxide in trans-ACPD-induced suppression of AMPA responses in cultured chick Purkinje neurons.Junko Mori-Okamoto & Koichi Okamoto - 1996 - Behavioral and Brain Sciences 19 (3):467-468.details
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Sensorimotor learning in structures “upstream” from the cerebellum.Paul van Donkelaar - 1996 - Behavioral and Brain Sciences 19 (3):477-478.details
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Cortical connections and parallel processing: Structure and function.Dana H. Ballard - 1986 - Behavioral and Brain Sciences 9 (1):67-90.details
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Eyeblink conditioning, motor control, and the analysis of limbic-cerebellar interactions.Craig Weiss & John F. Disterhoft - 1996 - Behavioral and Brain Sciences 19 (3):479-481.details
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Information processing, computation, and cognition.Gualtiero Piccinini & Andrea Scarantino - 2011 - Journal of Biological Physics 37 (1):1-38.details
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(2 other versions)On Alan Turing's anticipation of connectionism.Jack Copeland - 1996 - Synthese 108 (3):361-377.details
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Reflective Artificial Intelligence.Peter R. Lewis & Ştefan Sarkadi - 2024 - Minds and Machines 34 (2):1-30.details
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On the Opacity of Deep Neural Networks.Anders Søgaard - forthcoming - Canadian Journal of Philosophy:1-16.details
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From pixels to insights: Machine learning and deep learning for bioimage analysis.Mahta Jan, Allie Spangaro, Michelle Lenartowicz & Mojca Mattiazzi Usaj - 2024 - Bioessays 46 (2):2300114.details
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A Defense of Meaning Eliminativism: A Connectionist Approach.Tolgahan Toy - 2022 - Dissertation, Middle East Technical Universitydetails
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Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox.Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim, Ashok Samal, Prahalada K. Rao & Matthew R. Johnson - 2021 - Frontiers in Human Neuroscience 15.details
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