- 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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Trading spaces: Computation, representation, and the limits of uninformed learning.Andy Clark & Chris Thornton - 1997 - Behavioral and Brain Sciences 20 (1):57-66.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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Approximate Optimal Control as a Model for Motor Learning.Neil E. Berthier, Michael T. Rosenstein & Andrew G. Barto - 2005 - Psychological Review 112 (2):329-346.details
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Neuroscience and connectionist theory.Richard K. Belew - 1993 - Artificial Intelligence 62 (1):153-161.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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Relatively local neurons in a distributed representation: A neurophysiological perspective.Shabtai Barash - 1990 - Behavioral and Brain Sciences 13 (3):489-491.details
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Learning to act using real-time dynamic programming.Andrew G. Barto, Steven J. Bradtke & Satinder P. Singh - 1995 - Artificial Intelligence 72 (1-2):81-138.details
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Spanning the levels in cerebellar function.Michael A. Arbib - 1996 - Behavioral and Brain Sciences 19 (3):434-435.details
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Many levels: More than one is algorithmic.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):478-479.details
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Methodologies for studying human knowledge.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):467-477.details
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Implementations, algorithms, and more.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498-505.details
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Brain mechanisms in classical conditioning.A. Alexieva & N. A. Nicolov - 1989 - Behavioral and Brain Sciences 12 (1):137-137.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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The Rise of Cognitive Science in the 20th Century.Carrie Figdor - 2018 - 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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Computational Models of Performance Monitoring and Cognitive Control.William H. Alexander & Joshua W. Brown - 2010 - Topics in Cognitive Science 2 (4):658-677.details
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Classical conditioning and the placebo effect.Ian Wickram - 1989 - Behavioral and Brain Sciences 12 (1):160-161.details
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Plasticity of cerebro-cerebellar interactions in patients with cerebellar dysfunction.Karl Wessel - 1996 - Behavioral and Brain Sciences 19 (3):481-482.details
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Classical conditioning: A manifestation of Bayesian neural learning.James Christopher Westland & Manfred Kochen - 1989 - Behavioral and Brain Sciences 12 (1):160-160.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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Connectionist learning and the challenge of real environments.Mark Weaver & Stephen Kaplan - 1990 - Behavioral and Brain Sciences 13 (3):510-511.details
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A brief history of connectionism and its psychological implications.S. F. Walker - 1990 - AI and Society 4 (1):17-38.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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What behavioral benefit does stiffness control have? An elaboration of Smith's proposal.Gerard P. Van Galen, Angelique W. Hendriks & Willem P. DeJong - 1996 - Behavioral and Brain Sciences 19 (3):478-479.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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Connectionist models learn what?Timothy van Gelder - 1990 - Behavioral and Brain Sciences 13 (3):509-510.details
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Does Explicit Expectation Really Affect Preparation?Valentin J. Umbach, Sabine Schwager, Peter A. Frensch & Robert Gaschler - 2012 - Frontiers in Psychology 3.details
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Classical conditioning beyond the reflex: An uneasy rebirth.Jaylan Sheila Turkkan - 1989 - Behavioral and Brain Sciences 12 (1):161-179.details
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Classical conditioning: The new hegemony.Jaylan Sheila Turkkan - 1989 - Behavioral and Brain Sciences 12 (1):121-137.details
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Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.details
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Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.details
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Advances in neural network theory.Gérard Toulouse - 1990 - Behavioral and Brain Sciences 13 (3):509-509.details
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Understanding the Phonetic Characteristics of Speech Under Uncertainty—Implications of the Representation of Linguistic Knowledge in Learning and Processing.Fabian Tomaschek & Michael Ramscar - 2022 - Frontiers in Psychology 13.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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Connectionist models: Too little too soon?William Timberlake - 1990 - Behavioral and Brain Sciences 13 (3):508-509.details
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