- But what is the substance of connectionist representation?James Hendler - 1990 - Behavioral and Brain Sciences 13 (3):496-497.details
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A flawed analogy?James Hendler - 1987 - Behavioral and Brain Sciences 10 (3):485-486.details
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Two separate pathways for cerebellar LTD: NO-dependent and NO-independent.Nick A. Hartell - 1996 - Behavioral and Brain Sciences 19 (3):453-455.details
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Learning mechanisms in cue reweighting.Zara Harmon, Kaori Idemaru & Vsevolod Kapatsinski - 2019 - Cognition 189 (C):76-88.details
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What connectionist models learn: Learning and representation in connectionist networks.Stephen José Hanson & David J. Burr - 1990 - Behavioral and Brain Sciences 13 (3):471-489.details
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Learning and representation: Tensions at the interface.Steven José Hanson - 1990 - Behavioral and Brain Sciences 13 (3):511-518.details
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Expose hidden assumptions in network theory.Karl Haberlandt - 1990 - Behavioral and Brain Sciences 13 (3):495-496.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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Theoretical and computational analysis of skill learning, repetition priming, and procedural memory.Prahlad Gupta & Neal J. Cohen - 2002 - Psychological Review 109 (2):401-448.details
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Classical conditioning: The role of interdisciplinary theory.Stephen Grossberg - 1989 - Behavioral and Brain Sciences 12 (1):144-145.details
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Embodied Spatial Cognition.J. Gregory Trafton & Anthony M. Harrison - 2011 - Topics in Cognitive Science 3 (4):686-706.details
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Connectionism in Pavlovian harness.George Graham - 1987 - Southern Journal of Philosophy (Suppl.) 73 (S1):73-91.details
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Connectionism in Pavlovian harness.George Graham - 1991 - In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer Academic Publishers. pp. 143--166.details
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Connectionism in Pavlovian Harness.George Graham - 1988 - Southern Journal of Philosophy 26 (S1):73-91.details
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Learning to divide the labor: an account of deficits in light and heavy verb production.Jean K. Gordon & Gary S. Dell - 2003 - Cognitive Science 27 (1):1-40.details
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Ambiguities in “the algorithmic level”.Alvin I. Goldman - 1987 - Behavioral and Brain Sciences 10 (3):484-485.details
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Are connectionist models just statistical pattern classifiers?Richard M. Golden - 1990 - Behavioral and Brain Sciences 13 (3):494-495.details
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The study of cognition and instructional design: Mutual nurturance.Robert Glaser - 1987 - Behavioral and Brain Sciences 10 (3):483-484.details
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How and what does the cerebellum learn?Peter F. C. Gilbert - 1996 - Behavioral and Brain Sciences 19 (3):449-450.details
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Cerebellum does more than recalibration of movements after perturbations.C. Gielen - 1996 - Behavioral and Brain Sciences 19 (3):448-449.details
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Beyond Pavlovian classical conditioning.Beatrix T. Gardner & R. Allen Gardner - 1989 - Behavioral and Brain Sciences 12 (1):143-144.details
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Flights of teleological fancy about classical conditioning do not produce valid science or useful technology.John J. Furedy - 1989 - Behavioral and Brain Sciences 12 (1):142-143.details
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Metacognitive Myopia in Hidden-Profile Tasks: The Failure to Control for Repetition Biases.Klaus Fiedler, Joscha Hofferbert & Franz Wöllert - 2018 - Frontiers in Psychology 9.details
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Explaining classical conditioning: Phenomenological unity conceals mechanistic diversity.Chris Fields - 1989 - Behavioral and Brain Sciences 12 (1):141-142.details
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Grasping cerebellar function depends on our understanding the principles of sensorimotor integration: The frame of reference hypothesis.Anatol G. Feldman & Mindy F. Levin - 1996 - Behavioral and Brain Sciences 19 (3):442-445.details
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Response utility in classical and operant conditioning.Edmund Fantino - 1989 - Behavioral and Brain Sciences 12 (1):141-141.details
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The evolutionary aspect of cognitive functions.J. -P. Ewert - 1987 - Behavioral and Brain Sciences 10 (3):481-483.details
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The scientific induction problem: A case for case studies.K. Anders Ericsson - 1987 - Behavioral and Brain Sciences 10 (3):480-481.details
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Learning and functional utility.Barry R. Dworkin - 1989 - Behavioral and Brain Sciences 12 (1):139-141.details
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How can the cerebellum match “error signal” and “error correction”?Michel Dufossé - 1996 - Behavioral and Brain Sciences 19 (3):442-442.details
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Learning reward frequency over reward probability: A tale of two learning rules.Hilary J. Don, A. Ross Otto, Astin C. Cornwall, Tyler Davis & Darrell A. Worthy - 2019 - Cognition 193 (C):104042.details
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Conditioning of sexual and reproductive behavior: Extending the hegemony to the propagation of species.Michael Domjan & Susan Nash - 1989 - Behavioral and Brain Sciences 12 (1):138-139.details
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The Role of Lexical Frequency in the Acceptability of Syntactic Variants: Evidence From that‐ Clauses in Polish.Dagmar Divjak - 2017 - Cognitive Science 41 (2):354-382.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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Cellular mechanisms of long-term depression: From consensus to open questions.F. Crépel - 1996 - Behavioral and Brain Sciences 19 (3):488-488.details
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Effects of categorical and numerical feedback on category learning.Astin C. Cornwall, Tyler Davis, Kaileigh A. Byrne & Darrell A. Worthy - 2022 - Cognition 225 (C):105163.details
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Deep and beautiful. The reward prediction error hypothesis of dopamine.Matteo Colombo - 2014 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 45 (1):57-67.details
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A New Look at Hume’s Theory of Probabilistic Inference.Mark Collier - 2005 - Hume Studies 31 (1):21-36.details
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The algorithm/implementation distinction.Austen Clark - 1987 - Behavioral and Brain Sciences 10 (3):480-480.details
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Functional principles and situated problem solving.William J. Clancey - 1987 - Behavioral and Brain Sciences 10 (3):479-480.details
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Rational and mechanistic perspectives on reinforcement learning.Nick Chater - 2009 - Cognition 113 (3):350-364.details
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Connectionism and classical computation.Nick Chater - 1990 - Behavioral and Brain Sciences 13 (3):493-494.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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Representational systems and symbolic systems.Gordon D. A. Brown & Mike Oaksford - 1990 - Behavioral and Brain Sciences 13 (3):492-493.details
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What connectionists learn: Comparisons of model and neural nets.Bruce Bridgeman - 1990 - Behavioral and Brain Sciences 13 (3):491-492.details
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Perhaps it's time to completely rethink cerebellar function.James M. Bower - 1996 - Behavioral and Brain Sciences 19 (3):438-439.details
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Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andrew C. Barto - 2009 - Cognition 113 (3):262-280.details
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Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andew G. Barto - 2009 - Cognition 113 (3):262-280.details
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Classifier systems and genetic algorithms.L. B. Booker, D. E. Goldberg & J. H. Holland - 1989 - Artificial Intelligence 40 (1-3):235-282.details
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The domain of classical conditioning: Extensions to Pavlovian-operant interactions.Philip J. Bersh & Wayne G. Whitehouse - 1989 - Behavioral and Brain Sciences 12 (1):137-138.details
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