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  1. Human language: Are nonhuman precursors lacking?Marc D. Hauser & Nathan D. Wolfea - 1995 - Behavioral and Brain Sciences 18 (1):190-191.
    Contra Wilkins & Wakefield, we argue that an evolutionarily inspired approach to language must consider different facets of language (i.e., more than syntax and semantics), and must explore the possibility of nonhuman precursors. Several examples are discussed, illustrating the power of the comparative approach in illuminating our understanding of language evolution.
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  • Semiogenesis as a continuous, not a discrete, phenomenon.Jo Liska - 1995 - Behavioral and Brain Sciences 18 (1):198-199.
    This commentary confronts one of the central tenets advanced in Wilkins & Wakefield's target article: By adopting a very narrow perspective on language, the authors have effectively limited discussion of earlier linguistic capabilities thought to be at least facilitative of, if not prerequisite to language defined as a An alternative conceptualization for describing semiogenesis is offered.
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  • The Interplay Between Gesture and Speech in the Production of Referring Expressions: Investigating the Tradeoff Hypothesis.Jan P. de Ruiter, Adrian Bangerter & Paula Dings - 2012 - Topics in Cognitive Science 4 (2):232-248.
    The tradeoff hypothesis in the speech–gesture relationship claims that (a) when gesturing gets harder, speakers will rely relatively more on speech, and (b) when speaking gets harder, speakers will rely relatively more on gestures. We tested the second part of this hypothesis in an experimental collaborative referring paradigm where pairs of participants (directors and matchers) identified targets to each other from an array visible to both of them. We manipulated two factors known to affect the difficulty of speaking to assess (...)
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  • Making precise movements increases confidence in perceptual decisions.Rémi Sanchez, Anaïs Courant, Andrea Desantis & Thibault Gajdos - 2024 - Cognition 249 (C):105832.
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  • (1 other version)Economy of Effort or Maximum Rate of Information? Exploring Basic Principles of Articulatory Dynamics.Yi Xu & Santitham Prom-on - 2019 - Frontiers in Psychology 10.
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  • Can resources save rationality? ‘Anti-Bayesian’ updating in cognition and perception.Eric Mandelbaum, Isabel Won, Steven Gross & Chaz Firestone - 2020 - Behavioral and Brain Sciences 143:e16.
    Resource rationality may explain suboptimal patterns of reasoning; but what of “anti-Bayesian” effects where the mind updates in a direction opposite the one it should? We present two phenomena — belief polarization and the size-weight illusion — that are not obviously explained by performance- or resource-based constraints, nor by the authors’ brief discussion of reference repulsion. Can resource rationality accommodate them?
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  • Expanding and Repositioning Cognitive Science.Paul S. Rosenbloom & Kenneth D. Forbus - 2019 - Topics in Cognitive Science 11 (4):918-927.
    Cognitive science has converged in many ways with cognitive psychology, but while also maintaining a distinctive interdisciplinary nature. Here we further characterize this existing state of the field before proposing how it might be reconceptualized toward a broader and more distinct, and thus more stable, position in the realm of sciences.
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  • A Neural Network Framework for Cognitive Bias.Johan E. Korteling, Anne-Marie Brouwer & Alexander Toet - 2018 - Frontiers in Psychology 9:358644.
    Human decision making shows systematic simplifications and deviations from the tenets of rationality (‘heuristics’) that may lead to suboptimal decisional outcomes (‘cognitive biases’). There are currently three prevailing theoretical perspectives on the origin of heuristics and cognitive biases: a cognitive-psychological, an ecological and an evolutionary perspective. However, these perspectives are mainly descriptive and none of them provides an overall explanatory framework for the underlying mechanisms of cognitive biases. To enhance our understanding of cognitive heuristics and biases we propose a neural (...)
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  • Sleep-Related Offline Improvements in Gross Motor Task Performance Occur Under Free Recall Requirements.Andreas Malangré & Klaus Blischke - 2016 - Frontiers in Human Neuroscience 10.
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  • Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner—experimental evidence and theoretical model.Viviane Kostrubiec, Pier-Giorgio Zanone, Armin Fuchs & J. A. Scott Kelso - 2012 - Frontiers in Human Neuroscience 6.
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  • A schema theory of discrete motor skill learning.Richard A. Schmidt - 1975 - Psychological Review 82 (4):225-260.
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  • Quantifying the Ebbinghaus figure effect: target size, context size, and target-context distance determine the presence and direction of the illusion.Hester Knol, Raoul Huys, Jean-Christophe Sarrazin & Viktor K. Jirsa - 2015 - Frontiers in Psychology 6.
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  • A functional approach to movement analysis and error identification in sports and physical education.Ernst-Joachim Hossner, Frank Schiebl & Ulrich Göhner - 2015 - Frontiers in Psychology 6.
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  • Tool use ability depends on understanding of functional dynamics and not specific joint contribution profiles.Ross Parry, Gilles Dietrich & Blandine Bril - 2014 - Frontiers in Psychology 5.
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  • Too Good to be True? Ideomotor Theory from a Computational Perspective.Oliver Herbort & Martin V. Butz - 2012 - Frontiers in Psychology 3.
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  • Eye tracking in human-computer interaction and usability research: Ready to deliver the promises.Robert J. K. Jacob & Keith S. Karn - 2003 - In H. Deubel & J. R. In Hyönä (eds.), The Mind’s Eye: Cognitive and Applied Aspects of Eye Movement Research.
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  • Systematic error in the organization of physical action.Charles B. Walter, Stephan P. Swinnen, Natalia Dounskaia & H. Van Langendonk - 2001 - Cognitive Science 25 (3):393-422.
    Current views of the control of complex, purposeful movements acknowledge that organizational processes must reconcile multiple concerns. The central priority is of course accomplishing the actor's goal. But in specifying the manner in which this occurs, the action plan must accommodate such factors as the interaction of mechanical forces associated with the motion of a multilinked system (classical mechanics) and, in many cases, intrinsic bias toward preferred movement patterns, characterized by so‐called “coordination dynamics.” The most familiar example of the latter (...)
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  • Beyond the computer metaphor: Behaviour as interaction.Paul Cisek - 1999 - Journal of Consciousness Studies 6 (11-12):11-12.
    Behaviour is often described as the computation of a response to a stimulus. This description is incomplete in an important way because it only examines what occurs between the reception of stimulus information and the generation of an action. Behaviour is more correctly described as a control process where actions are performed in order to affect perceptions. This closed-loop nature of behaviour is de-emphasized in modern discussions of brain function, leading to a number of artificial mysteries. A notable example is (...)
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  • Unified cognitive theory is not comprehensive.P. C. Dodwell - 1992 - Behavioral and Brain Sciences 15 (3):443-445.
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  • Précis of Unified theories of cognition.Allen Newell - 1992 - Behavioral and Brain Sciences 15 (3):425-437.
    The book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made (...)
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  • It's all in the hands of the beholder: New data on free-ranging rhesus monkeys.Marc Hauser, Susan Perry, Joseph H. Manson, Helen Ball, Michael Williams, Erik Pearson & John Berard - 1991 - Behavioral and Brain Sciences 14 (2):342-344.
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  • Some thinking is irrational.Jonathan Baron - 1991 - Behavioral and Brain Sciences 14 (3):486-487.
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  • Does the environment have the same structure as Bayes' theorem?Gerd Gigerenzer - 1991 - Behavioral and Brain Sciences 14 (3):495-496.
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  • Strategies and motor programs.Bruce D. Burns & Jeffery J. Summers - 1989 - Behavioral and Brain Sciences 12 (2):214-214.
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  • Skeletal and oculomotor control systems compared.Bruce Bridgeman - 1989 - Behavioral and Brain Sciences 12 (2):212-212.
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  • Frogs solve Bernstein's problem.Lloyd D. Partridge - 1986 - Behavioral and Brain Sciences 9 (4):619-620.
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  • Motor equivalence and goal descriptors.Kevin G. Munhall - 1986 - Behavioral and Brain Sciences 9 (4):615-616.
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  • Is λ an appropriate control variable for locomotion?Thomas M. Hamm & Zong-Sheng Han - 1995 - Behavioral and Brain Sciences 18 (4):761-762.
    The lambda model predicts that the command received by each motor nucleus during locomotion is specific for the joint at which its muscle acts and is independent of external conditions. However, investigation of the commands received by motor nuclei during fictive locomotion and of the sensitivity of these commands to feedback from the limb during locomotion indicates that neither condition is satisfied.
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  • The unobservability of central commands: Why testing hypotheses is so difficult.Antony Hodgson - 1995 - Behavioral and Brain Sciences 18 (4):763-764.
    The experiments Feldman and Levin suggest do not definitively test their proposed solution to the problem of selecting muscle activations. Their test of the movement directions that elicit EMG activity can be interpreted without regard to the form of the central commands, and their fast elbow flexion test is based on a forward computation that obscures the insensitivity of the predicted trajectory to the details of the putative commands.
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  • Grip force adjustments during rapid hand movements suggest that detailed movement kinematics are predicted.J. Randall Flanagan, James R. Tresilian & Alan M. Wing - 1995 - Behavioral and Brain Sciences 18 (4):753-754.
    The λ model suggests that detailed kinematics arise from changes in control variables and need not be explicitly planned. However, we have shown that when moving a grasped object, grip force is precisely modulated in phase with acceleration-dependent inertial load. This suggests that the motor system can predict detailed kinematics. This prediction may be based on a forward model of the dynamics of the loaded limb.
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  • Reciprocal and coactivation commands are not sufficient to describe muscle activation patterns.C. C. A. M. Gielen & B. van Bolhuis - 1995 - Behavioral and Brain Sciences 18 (4):754-755.
    Recent results have shown that the relative activation of muscles is different for isometric contractions and for movements. These results exclude an explanation of muscle activation patterns by a combination ofreciprocal and coactivation commands. These results also indicate that joint stiffness is not uniquely determined and that it may be different for isometric contractions and movements.
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  • Toward peaceful coexistence of adaptive central strategies and medical professionals.J. Greg Anson & Mark L. Latash - 1996 - Behavioral and Brain Sciences 19 (1):94-106.
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  • What is the appropriate criterion for therapeutic intervention in the motor domain?W. A. Sparrow - 1996 - Behavioral and Brain Sciences 19 (1):86-86.
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  • The goal of treatment for motor impairment is not to “normalize” but to “functionalize” through facilitative modulation and enabling context.Gary Goldberg & Nathaniel H. Mayer - 1996 - Behavioral and Brain Sciences 19 (1):75-76.
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  • What makes a population atypical–priorities or constraints?Roberta L. Klatzky - 1996 - Behavioral and Brain Sciences 19 (1):78-78.
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  • The concept of “normal” movement and its consequences for therapy.Jürgen Konczak & Johannes Dichgans - 1996 - Behavioral and Brain Sciences 19 (1):79-79.
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  • Theories need data and patients need treatment: Where's the beef?Mathew T. Martin-Iverson - 1996 - Behavioral and Brain Sciences 19 (1):80-81.
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  • Adaptive changes in postural reactions after unilateral leg amputation.Alexander S. Aruin - 1996 - Behavioral and Brain Sciences 19 (1):68-69.
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  • Brains evolution and neurolinguistic preconditions.Wendy K. Wilkins & Jennie Wakefield - 1995 - Behavioral and Brain Sciences 18 (1):161-182.
    This target article presents a plausible evolutionary scenario for the emergence of the neural preconditions for language in the hominid lineage. In pleistocene primate lineages there was a paired evolutionary expansion of frontal and parietal neocortex (through certain well-documented adaptive changes associated with manipulative behaviors) resulting, in ancestral hominids, in an incipient Broca's region and in a configurationally unique junction of the parietal, occipital, and temporal lobes of the brain (the POT). On our view, the development of the POT in (...)
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  • Sequencing and Optimization Within an Embodied Task Dynamic Model.Juraj Simko & Fred Cummins - 2011 - Cognitive Science 35 (3):527-562.
    A model of gestural sequencing in speech is proposed that aspires to producing biologically plausible fluent and efficient movement in generating an utterance. We have previously proposed a modification of the well-known task dynamic implementation of articulatory phonology such that any given articulatory movement can be associated with a quantification of effort (Simko & Cummins, 2010). To this we add a quantitative cost that decreases as speech gestures become more precise, and hence intelligible, and a third cost component that places (...)
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  • Control Consciousness.Pete Mandik - 2010 - Topics in Cognitive Science 2 (4):643-657.
    Control consciousness is the awareness or experience of seeming to be in control of one’s actions. One view, which I will be arguing against in the present paper, is that control consciousness is a form of sensory consciousness. In such a view, control consciousness is exhausted by sensory elements such as tactile and proprioceptive information. An opposing view, which I will be arguing for, is that sensory elements cannot be the whole story and must be supplemented by direct contributions of (...)
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  • Why iPlay: The Relationships of Autistic and Schizotypal Traits With Patterns of Video Game Use.Nancy Yang, Pete L. Hurd & Bernard J. Crespi - 2022 - Frontiers in Psychology 13.
    Video games are popular and ubiquitous aspects of human culture, but their relationships to psychological and neurophysiological traits have yet to be analyzed in social-evolutionary frameworks. We examined the relationships of video game usage, motivations, and preferences with autistic and schizotypal traits and two aspects of neurophysiology, reaction time and targeting time. Participants completed the Autism Quotient, Schizotypal Personality Questionnaire, a Video Game Usage Questionnaire, and two neurophysiological tasks. We tested in particular the hypotheses, motivated by theory and previous work, (...)
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  • On-line confidence monitoring during decision making.Dror Dotan, Florent Meyniel & Stanislas Dehaene - 2018 - Cognition 171 (C):112-121.
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  • To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task.Maurice Lamb, Rachel W. Kallen, Steven J. Harrison, Mario Di Bernardo, Ali Minai & Michael J. Richardson - 2017 - Frontiers in Psychology 8.
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  • Effect of Position- and Velocity-Dependent Forces on Reaching Movements at Different Speeds.Susanna Summa, Maura Casadio & Vittorio Sanguineti - 2016 - Frontiers in Human Neuroscience 10.
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  • Fifteen-month-old infants use velocity information to predict others’ action targets.Janny C. Stapel, Sabine Hunnius & Harold Bekkering - 2015 - Frontiers in Psychology 6.
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  • Age Effects on Controlling Tools with Sensorimotor Transformations.Christine Sutter, Stefan Ladwig, Michael Oehl & Jochen Müsseler - 2012 - Frontiers in Psychology 3.
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  • A psychologically implausible architecture that is always conscious, always active.Mark Vincent LaPolla & Bernard J. Baars - 1992 - Behavioral and Brain Sciences 15 (3):448-449.
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  • On models and mechanisms.William R. Uttal - 1992 - Behavioral and Brain Sciences 15 (3):459-460.
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  • Cartesian vs. Newtonian research strategies for cognitive science.Morton E. Winston - 1992 - Behavioral and Brain Sciences 15 (3):463-464.
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