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Deep learning and cognitive science.Pietro Perconti & Alessio Plebe - 2020 - Cognition 203:104365.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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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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Automated patent landscaping.Aaron Abood & Dave Feltenberger - 2018 - Artificial Intelligence and Law 26 (2):103-125.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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(1 other version)Three Generations of Complexity Theories: Nuances and ambiguities.Michel Alhadeff-Jones - 2008 - Educational Philosophy and Theory 40 (1):66-82.details
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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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A cerebellar long-term depression update.David J. Linden - 1996 - Behavioral and Brain Sciences 19 (3):482-487.details
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Cerebellar rhythms: Exploring another metaphor.Patrick D. Roberts, Gin McCollum & Jan E. Holly - 1996 - Behavioral and Brain Sciences 19 (3):471-472.details
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No more news from the cerebellum.Steven R. Vincent - 1996 - Behavioral and Brain Sciences 19 (3):490-492.details
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Q: Is the cerebellum an adaptive combiner of motor and mental/motor activities? A: Yes, maybe, certainly not, who can say?W. Thomas Thach - 1996 - Behavioral and Brain Sciences 19 (3):501-528.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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What's the connection?Leif H. Finkel & George N. Reeke - 1986 - Behavioral and Brain Sciences 9 (1):94-95.details
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Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior.Todd M. Gureckis & Bradley C. Love - 2010 - Cognitive Science 34 (1):10-50.details
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More on climbing fiber signals and their consequence(s).J. I. Simpson, D. R. W. Wylie & C. I. De Zeeuw - 1996 - Behavioral and Brain Sciences 19 (3):496-498.details
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Resilient cerebellar theory complies with stiff opposition.Allan M. Smith - 1996 - Behavioral and Brain Sciences 19 (3):499-501.details
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Nitric oxide is involved in cerebellar long-term depression.Daisuke Okada - 1996 - Behavioral and Brain Sciences 19 (3):468-469.details
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Computational psychiatry.P. Read Montague, Raymond J. Dolan, Karl J. Friston & Peter Dayan - 2012 - Trends in Cognitive Sciences 16 (1):72-80.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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Information processing, computation, and cognition.Gualtiero Piccinini & Andrea Scarantino - 2011 - Journal of Biological Physics 37 (1):1-38.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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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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Linguistic Competence and New Empiricism in Philosophy and Science.Vanja Subotić - 2023 - Dissertation, University of Belgradedetails
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An Alternative to Cognitivism: Computational Phenomenology for Deep Learning.Pierre Beckmann, Guillaume Köstner & Inês Hipólito - 2023 - Minds and Machines 33 (3):397-427.details
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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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The Future Will Not Be Calculated: Neural Nets, Neoliberalism, and Reactionary Politics.Orit Halpern - 2022 - Critical Inquiry 48 (2):334-359.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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The Curious Case of Connectionism.Istvan S. N. Berkeley - 2019 - Open Philosophy 2 (1):190-205.details
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A Cognitive Computation Fallacy? Cognition, Computations and Panpsychism.John Mark Bishop - 2009 - Cognitive Computation 1 (3):221-233.details
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Modeling language and cognition with deep unsupervised learning: a tutorial overview.Marco Zorzi, Alberto Testolin & Ivilin P. Stoianov - 2013 - Frontiers in Psychology 4.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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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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Connectionism: Self-abuse is improper treatment.Gregg C. Oden - 1990 - Behavioral and Brain Sciences 13 (2):402-402.details
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Cortical architectures and value unit encoding.Charles D. Gilbert - 1986 - Behavioral and Brain Sciences 9 (1):96-97.details
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Saccades and the adjustable pattern generator.Paul Dean - 1996 - Behavioral and Brain Sciences 19 (3):441-442.details
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Limitations of PET and lesion studies in defining the role of the human cerebellum in motor learning.D. Timmann & H. C. Diener - 1996 - Behavioral and Brain Sciences 19 (3):477-477.details
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The b-I-c-a of biologically inspired cognitive architectures.Andrea Stocco, Christian Lebiere & Alexei V. Samsonovich - 2010 - International Journal of Machine Consciousness 2 (2):171-192.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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A Defense of Meaning Eliminativism: A Connectionist Approach.Tolgahan Toy - 2022 - Dissertation, Middle East Technical Universitydetails
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Picturing, signifying, and attending.Bryce Huebner - 2018 - Belgrade Philosophical Annual 1 (31):7-40.details
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Opinion: Reproducibility failures are essential to scientific inquiry.A. David Redish, Erich Kummerfeld, Rebecca Morris & Alan Love - 2018 - Proceedings of the National Academy of Sciences 115 (20):5042-5046.details
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