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  1. Looking for nodes and edges.Arnold Trehub - 1982 - Behavioral and Brain Sciences 5 (4):650-651.
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  • A Taxonomy of Major Premises and Implications for Falsification and Verification.David Trafimow - 2020 - International Studies in the Philosophy of Science 33 (4):211-229.
    Both naïve and sophisticated falsification arguments depend upon using the logic of modus tollens to employ empirical defeats to conclude that the theory is not true or that t...
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  • Reinforcement Learning With Parsimonious Computation and a Forgetting Process.Asako Toyama, Kentaro Katahira & Hideki Ohira - 2019 - Frontiers in Human Neuroscience 13.
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  • Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.
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  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
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  • Maps of desire: Edward Tolman's drive theory of wants.Simon Torracinta - 2023 - History of the Human Sciences 36 (1):3-30.
    Wants and desires are central to ordinary experience and to aesthetic, philosophical, and theological thought. Yet despite a burgeoning interest in the history of emotions research, their history as objects of scientific study has received little attention. This historiographical neglect mirrors a real one, with the retreat of introspection in the positivist human sciences of the early 20th century culminating in the relative marginalization of questions of psychic interiority. This article therefore seeks to explain an apparent paradox: the attempt to (...)
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  • Models, yes; homunculus, no.Frederick M. Toates - 1984 - Behavioral and Brain Sciences 7 (4):650.
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  • Animal-centered models of reinforcement.William Timberlake - 1994 - Behavioral and Brain Sciences 17 (1):153-154.
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  • “Model systems” versus “neuroethological” approach to hippocampal function.Richard F. Thompson, Paul R. Solomon & Donald J. Weisz - 1979 - Behavioral and Brain Sciences 2 (4):517-518.
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  • Cognition, memory, and the hippocampus.Garth J. Thomas - 1979 - Behavioral and Brain Sciences 2 (4):515-517.
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  • Are radical and cognitive behaviorism incompatible?Roger K. Thomas - 1984 - Behavioral and Brain Sciences 7 (4):650.
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  • “Mental way stations” in contemporary theories of animal learning.William S. Terry - 1984 - Behavioral and Brain Sciences 7 (4):649.
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  • Animal versus human minds.H. S. Terrace - 1982 - Behavioral and Brain Sciences 5 (3):391-392.
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  • What is the algorithmic level?M. M. Taylor & R. A. Pigeau - 1987 - Behavioral and Brain Sciences 10 (3):495-496.
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  • Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum.Shingo Tanaka, Xiaochuan Pan, Mineki Oguchi, Jessica E. Taylor & Masamichi Sakagami - 2015 - Frontiers in Psychology 6.
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  • The anatomy of a cognitive map.L. W. Swanson - 1979 - Behavioral and Brain Sciences 2 (4):515-515.
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  • Short-term memory in human operant conditioning.Frode Svartdal - 1994 - Behavioral and Brain Sciences 17 (1):152-153.
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  • Is the tag necessary?Ron Sun & Emmanuel Schalit - 1989 - Behavioral and Brain Sciences 12 (3):415-415.
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  • Reconsidering 'spatial memory' and the Morris water maze.Jacqueline Anne Sullivan - 2010 - Synthese 177 (2):261-283.
    The Morris water maze has been put forward in the philosophy of neuroscience as an example of an experimental arrangement that may be used to delineate the cognitive faculty of spatial memory (e.g., Craver and Darden, Theory and method in the neurosciences, University of Pittsburgh Press, Pittsburgh, 2001; Craver, Explaining the brain: Mechanisms and the mosaic unity of neuroscience, Oxford University Press, Oxford, 2007). However, in the experimental and review literature on the water maze throughout the history of its use, (...)
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  • A Role for Representation in Cognitive Neurobiology.Jacqueline Anne Sullivan - 2010 - Philosophy of Science (Supplement) 77 (5):875-887.
    What role does the concept of representation play in the contexts of experimentation and explanation in cognitive neurobiology? In this article, a distinction is drawn between minimal and substantive roles for representation. It is argued by appeal to a case study that representation currently plays a role in cognitive neurobiology somewhere in between minimal and substantive and that this is problematic given the ultimate explanatory goals of cognitive neurobiological research. It is suggested that what is needed is for representation to (...)
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  • The origins of causal cognition in early hominins.Martin Stuart-Fox - 2015 - Biology and Philosophy 30 (2):247-266.
    Studies of primate cognition have conclusively shown that humans and apes share a range of basic cognitive abilities. As a corollary, these same studies have also focussed attention on what makes humans unique, and on when and how specifically human cognitive skills evolved. There is widespread agreement that a major distinguishing feature of the human mind is its capacity for causal reasoning. This paper argues that causal cognition originated with the use made of indirect natural signs by early hominins forced (...)
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  • The chronometrics of confirmation bias: Evidence for the inhibition of intuitive judgements.Edward Jn Stupple & Linden J. Ball - 2011 - Behavioral and Brain Sciences 34 (2):89-90.
    Mercier & Sperber (M&S) claim that the phenomenon of belief bias provides fundamental support for their argumentative theory and its basis in intuitive judgement. We propose that chronometric evidence necessitates a more nuanced account of belief bias that is not readily captured by argumentative theory.
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  • The value of modeling visual attention.Gary W. Strong & Bruce A. Whitehead - 1989 - Behavioral and Brain Sciences 12 (3):419-433.
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  • A solution to the tag-assignment problem for neural networks.Gary W. Strong & Bruce A. Whitehead - 1989 - Behavioral and Brain Sciences 12 (3):381-397.
    Purely parallel neural networks can model object recognition in brief displays – the same conditions under which illusory conjunctions have been demonstrated empirically. Correcting errors of illusory conjunction is the “tag-assignment” problem for a purely parallel processor: the problem of assigning a spatial tag to nonspatial features, feature combinations, and objects. This problem must be solved to model human object recognition over a longer time scale. Our model simulates both the parallel processes that may underlie illusory conjunctions and the serial (...)
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  • Is behaviorism vacuous?Stephen P. Stich - 1984 - Behavioral and Brain Sciences 7 (4):647.
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  • The scale of nature: Fitted parameters and dimensional correctness.D. W. Stephens - 1994 - Behavioral and Brain Sciences 17 (1):150-152.
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  • Hippocampus and superior colliculus: Interdependence or independence?Barry E. Stein - 1987 - Behavioral and Brain Sciences 10 (1):131-131.
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  • Applying Marr to memory.Keith Stenning - 1987 - Behavioral and Brain Sciences 10 (3):494-495.
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  • Skinner's behaviorism implies a subcutaneous homunculus.J. E. R. Staddon - 1984 - Behavioral and Brain Sciences 7 (4):647.
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  • In the beginning was the word.J. E. R. Staddon - 1982 - Behavioral and Brain Sciences 5 (3):390-391.
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  • Interactive instructional systems and models of human problem solving.Edward P. Stabler - 1987 - Behavioral and Brain Sciences 10 (3):493-494.
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  • The hippocampus, space, and human amnesia.Larry R. Squire - 1979 - Behavioral and Brain Sciences 2 (4):514-515.
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  • Solving the detour problem in navigation: a model of prefrontal and hippocampal interactions.Hugo J. Spiers & Sam J. Gilbert - 2015 - Frontiers in Human Neuroscience 9.
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  • A trace of memory.D. Nico Spinelli - 1982 - Behavioral and Brain Sciences 5 (4):650-650.
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  • Why do humans reason? Arguments for an argumentative theory.Dan Sperber - 2011 - Behavioral and Brain Sciences 34 (2):57.
    Short abstract (98 words). Reasoning is generally seen as a means to improve knowledge and make better decisions. However, much evidence shows that reasoning often leads to epistemic distortions and poor decisions. This suggests that the function of reasoning should be rethought. Our hypothesis is that the function of reasoning is argumentative. It is to devise and evaluate arguments intended to persuade. Reasoning so conceived is adaptive given humans’ exceptional dependence on communication and vulnerability to misinformation. A wide range of (...)
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  • Goal-directed decision making as probabilistic inference: A computational framework and potential neural correlates.Alec Solway & Matthew M. Botvinick - 2012 - Psychological Review 119 (1):120-154.
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  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
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  • Representations and misrepresentations.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):655.
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  • Reply to Harnad.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):721.
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  • Behaviorism at fifty.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):615.
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  • Behaviorism at fifty.B. F. Skinner - 1974 - New York,: J. Norton Publishers.
    Each of us is uniquely subject to certain kinds of stimulation from a small part of the universe within our skins. Mentalistic psychologies insist that other kinds of events, lacking the physical dimensions of stimuli, are accessible to the owner of the skin within which they occur. One solution often regarded as behavioristic, granting the distinction between public and private events and ruling the latter out of consideration, has not been successful. A science of behavior must face the problem of (...)
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  • Modelling ourselves: what the free energy principle reveals about our implicit notions of representation.Matt Sims & Giovanni Pezzulo - 2021 - Synthese 199 (3-4):7801-7833.
    Predictive processing theories are increasingly popular in philosophy of mind; such process theories often gain support from the Free Energy Principle —a normative principle for adaptive self-organized systems. Yet there is a current and much discussed debate about conflicting philosophical interpretations of FEP, e.g., representational versus non-representational. Here we argue that these different interpretations depend on implicit assumptions about what qualifies as representational. We deploy the Free Energy Principle instrumentally to distinguish four main notions of representation, which focus on organizational, (...)
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  • Explaining behavior Skinner's way.Michael A. Simon - 1984 - Behavioral and Brain Sciences 7 (4):646.
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  • Practical effects of response specification.Richard L. Shull - 1994 - Behavioral and Brain Sciences 17 (1):150-150.
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  • Molar behaviorism, positivism, and pain.Charles P. Shimp - 1985 - Behavioral and Brain Sciences 8 (1):71-72.
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  • Historicism, behaviorism, and the conceptual status of memory representations in animals.Charles P. Shimp - 1982 - Behavioral and Brain Sciences 5 (3):389-390.
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  • Awareness and reinforcement.Charles P. Shimp - 1994 - Behavioral and Brain Sciences 17 (1):149-150.
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  • Upward direction, mental rotation, and discrimination of left and right turns in maps.Roger N. Shepard & Shelley Hurwitz - 1984 - Cognition 18 (1-3):161-193.
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  • Is there a geometric module for spatial orientation? Insights from a rodent navigation model.Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Angelo Arleo & Wulfram Gerstner - 2009 - Psychological Review 116 (3):540-566.
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  • Expectancy: The endogenous source of anticipatory activities, including “pseudoconditioned” responses.Patrick J. Sheafor - 1982 - Behavioral and Brain Sciences 5 (3):387-389.
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