Search results for 'Motor control' (try it on Scholar)

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  1. Mitchell Herschbach (2008). The Concept of Simulation in Control-Theoretic Accounts of Motor Control and Action Perception. In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society 315--20.
    Control theory is a popular theoretical framework for explaining cognitive domains such as motor control and “mindreading.” Such accounts frequently characterize their “internal models” as “simulating” things outside the brain. But in what sense are these “simulations”? Do they involve the kind of “replication” simulation found in the simulation theory of mindreading? I will argue that some but not all control -theoretic appeals to “simulation” involve R-simulation. To do so, I examine in detail a recent computational (...)
     
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  2.  7
    M. B. Berkinblit, A. G. Feldman & O. I. Fukson (1986). Adaptability of Innate Motor Patterns and Motor Control Mechanisms. Behavioral and Brain Sciences 9 (4):585.
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  3.  18
    Anatol G. Feldman & Mindy F. Levin (1995). The Origin and Use of Positional Frames of Reference in Motor Control. Behavioral and Brain Sciences 18 (4):723.
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  4. John D. Gould & Amy Schaffer (1965). Partial Visual Feedback of Component Motions as a Function of Difficulty of Motor Control. Journal of Experimental Psychology 70 (6):564.
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  5. D. A. Laird (1923). Changes in Motor Control and Individual Variations Under the Influence of 'Razzing.". Journal of Experimental Psychology 6 (3):236.
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  6. Bill Faw (2003). Pre-Frontal Executive Committee for Perception, Working Memory, Attention, Long-Term Memory, Motor Control, and Thinking: A Tutorial Review. Consciousness and Cognition 12 (1):83-139.
    As an explicit organizing metaphor, memory aid, and conceptual framework, the prefrontal cortex may be viewed as a five-member ‘Executive Committee,’ as the prefrontal-control extensions of five sub-and-posterior-cortical systems: the ‘Perceiver’ is the frontal extension of the ventral perceptual stream which represents the world and self in object coordinates; the ‘Verbalizer’ is the frontal extension of the language stream which represents the world and self in language coordinates; the ‘Motivator’ is the frontal cortical extension of a subcortical extended-amygdala stream (...)
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  7.  58
    Paul E. Tibbetts (2004). The Concept of Voluntary Motor Control in the Recent Neuroscientific Literature. Synthese 141 (2):247-76.
  8. Rick Grush (2004). The Emulation Theory of Representation: Motor Control, Imagery, and Perception. Behavioral and Brain Sciences 27 (3):377-396.
    The emulation theory of representation is developed and explored as a framework that can revealingly synthesize a wide variety of representational functions of the brain. The framework is based on constructs from control theory (forward models) and signal processing (Kalman filters). The idea is that in addition to simply engaging with the body and environment, the brain constructs neural circuits that act as models of the body and environment. During overt sensorimotor engagement, these models are driven by efference copies (...)
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  9.  29
    T. Asai, E. Sugimori & Y. Tanno (2008). Schizotypal Personality Traits and Prediction of One's Own Movements in Motor Control: What Causes an Abnormal Sense of Agency? Consciousness and Cognition 17 (4):1131-1142.
    Background. Positive schizophrenic symptoms, especially passivity phenomena, including auditory hallucinations, may be caused by an abnormal sense of agency, which people with schizotypal personality traits also tend to exhibit. A sense of agency asserts that it is oneself who is causing or generating an action. It is possible that this abnormal sense of self-agency is attributable to the abnormal prediction of one’s own movements in motor control. Method. We conducted an experiment using the “disappeared cursor” paradigm in which (...)
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  10.  4
    Bruce MacLennan, Field Computation in Motor Control.
    to small scales. Further, it is often useful to describe motor control and sensorimotor coordination in terms of external elds such as force elds and sensory images. We survey the basic concepts of eld computation, including both feed-forward eld operations and eld dynamics resulting from recurrent connections. Adaptive and learning mechanisms are discussed brie y. The application of eld computation to motor control is illustrated by several examples: external force elds associated with spinal neurons, population coding (...)
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  11.  20
    Barbara Tomasino, Corrado Corradi-Dell'Acqua, Alessia Tessari, Caterina Spiezio & Raffaella Ida Rumiati (2004). A Neuropsychological Approach to Motor Control and Imagery. Behavioral and Brain Sciences 27 (3):419-419.
    In his article Grush proposes a potentially useful framework for explaining motor control, imagery, and perception. In our commentary we will address two issues that the model does not seem to deal with appropriately: one concerns motor control, and the other, the visual and motor imagery domains. We will consider these two aspects in turn.
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  12.  16
    L. Pisella, A. Kritikos & Y. Rossetti (2001). Perception, Action, and Motor Control: Interaction Does Not Necessarily Imply Common Structures. Behavioral and Brain Sciences 24 (5):898-899.
    The Theory of Event Coding (TEC) provides a preliminary account of the interaction between perception and action, which is consistent with several recent findings in the area of motor control. Significant issues require integration and elaboration, however; particularly, distractor interference, automatic motor corrections, internal models of action, and neuroanatomical bases for the link between perception and action.
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  13.  1
    Arnold B. Mitnitski (1997). Kinematic Models Cannot Provide Insight Into Motor Control. Behavioral and Brain Sciences 20 (2):318-319.
    In Plamondon & Alimi's target article, a bell-shaped velocity profile typically observed in fast movements is used as a basis for the of motor control. In our opinion, kinematics is a necessary but insufficient ground for a theory of motor control. Relationships between different kinematic characteristics are an emergent property of the system dynamics controlled by the brain in a specific way. In particular, bell-shaped velocity profiles with or without additional waves are a trivial consequence of (...)
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  14.  7
    Roger Newport, Sally Pears & Stephen R. Jackson (2004). Evidence From Optic Ataxia Does Not Support a Distinction Between Planning and Control Mechanisms in Human Motor Control. Behavioral and Brain Sciences 27 (1):45-46.
    Evidence from optic ataxic patients with bilateral lesions to the superior parietal lobes does not support the view that there are separate planning and control mechanisms located in the IPL and SPL respectively. The aberrant reaches of patients with bilateral SPL damage towards extrafoveal targets seem to suggest a deficit in the selection of appropriate motor programmes rather than a deficit restricted to on-line control.
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  15.  1
    Eric A. Roy & Ronald G. Marteniuk (1974). Mechanisms of Control in Motor Performance: Closed-Loop Vs Motor Programming Control. Journal of Experimental Psychology 103 (5):985.
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  16.  16
    Lewis Wolpert (2003). Causal Beliefs Lead to Toolmaking, Which Require Handedness for Motor Control. Behavioral and Brain Sciences 26 (2):242-242.
    Toolmaking requires motor skills that in turn require handedness, so that there is no competition between the two sides of the brain. Thus, handedness is not necessarily linked to vocalization but to the origin of causal beliefs required for making complex tools. Language may have evolved from these processes.
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  17. Keith R. Lohse, Matt Jones, Alice F. Healy & David E. Sherwood (2014). The Role of Attention in Motor Control. Journal of Experimental Psychology: General 143 (2):930-948.
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  18.  2
    Michael A. Arbib & Jacob Spoelstra (1997). Microcomplexes: The Basic Unit of the Cerebellar Role in Adaptive Motor Control. Behavioral and Brain Sciences 20 (2):245-246.
    We offer a critique of the role of the parallel fiber beam as the unit of cerebellar computation, with the as its mode of operation. Instead we see the microcomplex linking cerebellar cortex and nuclei as the unit, with parallel fibers providing the means to coordinate the effects of microcomplexes in modulating various motor pattern generators (MPGs).
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  19. Craig Weiss & John F. Disterhoft (1996). Eyeblink Conditioning, Motor Control, and the Analysis of Limbic-Cerebellar Interactions. Behavioral and Brain Sciences 19 (3):479-481.
    Several target articles in this BBS special issue address the topic of cerebellar and olivary functions, especially as they pertain to motor earning. Another important topic is the neural interaction between the limbic system and the cerebellum during associative learning. In this commentary we present some of our data on olivo-cerebellar and limbic-cerebellar interactions during eyeblink conditioning. [HOUK et al.; SIMPSON et al.; THACH].
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  20.  19
    Daniel M. Wolpert (1997). Computational Approaches to Motor Control. Trends in Cognitive Sciences 1 (6):209-216.
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  21.  3
    Antje Gentsch, Arne Weber, Matthis Synofzik, Gottfried Vosgerau & Simone Schütz-Bosbach (2016). Towards a Common Framework of Grounded Action Cognition: Relating Motor Control, Perception and Cognition. Cognition 146:81-89.
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  22.  2
    J. A. S. Kelso & E. L. Saltzman (1982). Motor Control: Which Themes Do We Orchestrate? Behavioral and Brain Sciences 5 (4):554.
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  23.  7
    A. G. Feldman (1992). Fundamentals of Motor Control, Kinesthesia and Spinal Neurons: In Search of a Theory. Behavioral and Brain Sciences 15 (4):735-737.
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  24.  3
    James M. Bower (1992). Is the Cerebellum a Motor Control Device? Behavioral and Brain Sciences 15 (4):714-715.
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  25.  2
    Arthur C. Danto (1985). Consciousness and Motor Control. Behavioral and Brain Sciences 8 (4):540.
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  26.  2
    Gerald L. Gottlieb & Gyan C. Agarwal (1982). Control Theoretic Concepts and Motor Control. Behavioral and Brain Sciences 5 (4):546.
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  27.  4
    J. A. Hoffer (1982). Central Control and Reflex Regulation of Mechanical Impedance: The Basis for a Unified Motor-Control Scheme. Behavioral and Brain Sciences 5 (4):548.
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  28.  1
    T. Richard Nichols (1982). Reflex Action in the Context of Motor Control. Behavioral and Brain Sciences 5 (4):559.
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  29.  9
    Stephen H. Scott (2012). The Computational and Neural Basis of Voluntary Motor Control and Planning. Trends in Cognitive Sciences 16 (11):541-549.
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  30.  12
    Emilio Bizzi & Ferdinando A. Mussa-Ivaldi (1998). Neural Basis of Motor Control and its Cognitive Implications. Trends in Cognitive Sciences 2 (3):97-102.
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  31.  4
    Tomohisa Asai (2015). Feedback Control of One’s Own Action: Self-Other Sensory Attribution in Motor Control. Consciousness and Cognition 38:118-129.
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  32.  10
    Gerald E. Loeb & Ning Lan (2002). Prosthetics, Motor Control. In M. Arbib (ed.), The Handbook of Brain Theory and Neural Networks. MIT Press
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  33.  1
    Liana E. Brown & David A. Rosenbaum (2002). Motor Control: Models. In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan
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  34.  2
    R. E. Kearney & I. W. Hunter (1982). Systems Analysis in the Study of the Motor-Control System: Control Theory Alone is Insufficient. Behavioral and Brain Sciences 5 (4):553.
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  35.  9
    R. C. Miall (1995). Motor Control, Biological and Theoretical. In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press 597--600.
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  36.  11
    Mindy F. Levin & Anatol G. Feldman (1995). The Λ Model for Motor Control: More Than Meets the Eye. Behavioral and Brain Sciences 18 (4):786.
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  37.  5
    S. V. Adamovich & A. G. Feldman (1989). The Prerequisites for One-Jint Motor Control Theories. Behavioral and Brain Sciences 12 (2):210.
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  38.  3
    M. B. Berkinblit, A. G. Feldman & O. I. Fukson (1986). In Search of the Theoretical Basis of Motor Control. Behavioral and Brain Sciences 9 (4):626.
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  39.  3
    Esther Thelen (1995). Origins of Origins of Motor Control. Behavioral and Brain Sciences 18 (4):780.
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  40.  5
    F. Lestienne, M. Ghafouri & F. Thullier (1995). What Does Body Configuration in Microgravity Tell Us About the Contribution of Intra- and Extrapersonal Frames of Reference for Motor Control? Behavioral and Brain Sciences 18 (4):766.
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  41.  5
    Christopher C. Pagano & Geoffrey P. Bingham (1995). Spatial Frames for Motor Control Would Be Commensurate with Spatial Frames for Vision and Proprioception, but What About Control of Energy Flows? Behavioral and Brain Sciences 18 (4):773.
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  42.  2
    James C. Houk (1982). Respective Roles of Reflex-Gain Control and Reprogramming in Adaptive Motor Control. Behavioral and Brain Sciences 5 (4):551.
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  43.  2
    Lloyd D. Partridge (1995). Let Us Accept a “Controlled Trade-Off” Model of Motor Control. Behavioral and Brain Sciences 18 (4):773.
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  44.  2
    B. Todd Troost (1980). Clinical Disorders of Ocular Motor Control. Behavioral and Brain Sciences 3 (4):518.
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  45.  4
    Philip Lieberman (1995). Manual Versus Speech Motor Control and the Evolution of Language. Behavioral and Brain Sciences 18 (1):197.
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  46.  4
    Gerald E. Loeb (1995). What Can We Expect From Models of Motor Control? Behavioral and Brain Sciences 18 (4):767.
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  47.  3
    Konrad Bresin & Michael D. Robinson (2013). Losing Control, Literally: Relations Between Anger Control, Trait Anger, and Motor Control. Cognition and Emotion 27 (6):995-1012.
  48.  4
    A. M. Gordon & D. A. Rosenbaum (1984). Conscious and Subconscious Arm Movements: Application of Signal Detection Theory to Motor Control. Bulletin of the Psychonomic Society 22 (3):214-216.
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  49. Ferdinando A. Mussa-Ivaldi (1995). Geometrical Principles in Motor Control. In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press 434--438.
     
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  50.  3
    D. Adrian Wilkinson (1971). Visual-Motor Control Loop: A Linear System? Journal of Experimental Psychology 89 (2):250.
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