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Visual cognition: An introduction

Cognition 18 (1-3):1-63 (1984)

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  1. Segmentation of object outlines into parts: A large-scale integrative study.Joeri De Winter & Johan Wagemans - 2006 - Cognition 99 (3):275-325.
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  • Scene-based and viewer-centered representations for comparing shapes.G. Hinton - 1988 - Cognition 30 (1):1-35.
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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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  • Neural networks and computational theory: Solving the right problem.David C. Plaut - 1989 - Behavioral and Brain Sciences 12 (3):411-413.
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  • State transitions in constraint satisfaction networks.John K. Kruschke - 1989 - Behavioral and Brain Sciences 12 (3):407-408.
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  • Affordance perception and the Y-magnocellular pathway.Chris Fields - 1989 - Behavioral and Brain Sciences 12 (3):403-404.
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  • Motor simulation.Adam Morton - 1994 - Behavioral and Brain Sciences 17 (2):215-215.
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  • Nonconscious motor images.Giacomo Rizzolatti - 1994 - Behavioral and Brain Sciences 17 (2):220-220.
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  • Action and attention.A. H. C. Van der Heijden & Bruce Bridgeman - 1994 - Behavioral and Brain Sciences 17 (2):225-226.
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  • On the relation between motor imagery and visual imagery.Roberta L. Klatzky - 1994 - Behavioral and Brain Sciences 17 (2):212-213.
    Jeannerod's target article describes support, through empirical and neurological findings, for the intriguing idea of motor imagery, a form of representation hypothesized to have levels of functional equivalence with motor preparation, while being consciously accessible. Jeannerod suggests that the subjectively accessible content of motor imagery allows it to be distinguished from motor preparation, which is unconscious. Motor imagery is distinguished from visual imagery in terms of content. Motor images are kinesthetic in nature; they are parametrized by variables such as force (...)
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  • The representing brain: Neural correlates of motor intention and imagery.Marc Jeannerod - 1994 - Behavioral and Brain Sciences 17 (2):187-202.
    This paper concerns how motor actions are neurally represented and coded. Action planning and motor preparation can be studied using a specific type of representational activity, motor imagery. A close functional equivalence between motor imagery and motor preparation is suggested by the positive effects of imagining movements on motor learning, the similarity between the neural structures involved, and the similar physiological correlates observed in both imaging and preparing. The content of motor representations can be inferred from motor images at a (...)
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  • Interactions on the interactive brain.Martha J. Farah - 1994 - Behavioral and Brain Sciences 17 (1):90-104.
    When cognitive neuropsychologists make inferences about the functional architecture of the normal mind from selective cognitive impairments they generally assume that the effects of brain damage are local, that is, that the nondamaged components of the architecture continue to function as they did before the damage. This assumption follows from the view that the components of the functional architecture are modular, in the sense of being informationally encapsulated. In this target article it is argued that this “locality” assumption is probably (...)
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  • What counts as local?Andrew W. Young - 1994 - Behavioral and Brain Sciences 17 (1):88-89.
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  • Modularity, interaction and connectionist neuropsychology.Nick Chater - 1994 - Behavioral and Brain Sciences 17 (1):66-67.
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  • Gestalt theory: An essay in philosophy.Barry Smith - 1988 - In Foundations of Gestalt Theory. Philosophia. pp. 11-81.
    The Austrian philosopher Christian von Ehrenfels published his essay "On 'Gestalt Qualities'" in 1890. The essay initiated a current of thought which enjoyed a powerful position in the philosophy and psychology of the first half of this century and has more recently enjoyed a minor resurgence of interest in the area of cognitive science, above all in criticisms of the so-called 'strong programme' in artificial intelligence. The theory of Gestalt is of course associated most specifically with psychologists of the Berlin (...)
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  • Energy, information, detection, and action.Claire F. Michaels & Raoul R. D. Oudejans - 2001 - Behavioral and Brain Sciences 24 (2):230-230.
    Before one can talk about global arrays and multimodal detection, one must be clear about the concept of information: How is it different from energy and how is it detected? And can it come to specify a needed movement? We consider these issues in our commentary.
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  • Components of high-level vision: A cognitive neuroscience analysis and accounts of neurological syndromes.Stephen M. Kosslyn, Rex A. Flynn, Jonathan B. Amsterdam & Gretchen Wang - 1990 - Cognition 34 (3):203-277.
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  • Motor memory – a memory of the future.David H. Ingvar - 1994 - Behavioral and Brain Sciences 17 (2):210-211.
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  • Are motor images based on kinestheticvisual matching?Robert W. Mitchell - 1994 - Behavioral and Brain Sciences 17 (2):214-215.
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  • Representations of movement and representations in movement.Giuseppe Pellizzer & Apostolos P. Georgopoulos - 1994 - Behavioral and Brain Sciences 17 (2):216-217.
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  • Motor images are action plans.Wolfgang Prinz - 1994 - Behavioral and Brain Sciences 17 (2):218-218.
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  • Do object affordances represent the functionality of an object?Ruzena Bajcsy - 1994 - Behavioral and Brain Sciences 17 (2):202-202.
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  • Cognitive and motor implications of mental imagery.Romeo Chua & Daniel J. Weeks - 1994 - Behavioral and Brain Sciences 17 (2):203-204.
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  • Modularity, abstractness and the interactive brain.James M. Clark - 1994 - Behavioral and Brain Sciences 17 (1):67-68.
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  • Reinterpreting Visual Patterns in Mental Imagery.Ronald A. Finks, Steven Pinker & Martha J. Farah - 1989 - Cognitive Science 13 (1):51-78.
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  • An ecological approach to cognitive (im)penetrability.Rob Withagen & Claire F. Michaels - 1999 - Behavioral and Brain Sciences 22 (3):399-400.
    We offer an ecological (Gibsonian) alternative to cognitive (im)penetrability. Whereas Pylyshyn explains cognitive (im)penetrability by focusing solely on computations carried out by the nervous system, according to the ecological approach the perceiver as a knowing agent influences the entire animal-environmental system: in the determination of what constitutes the environment (affordances), what constitutes information, what information is detected and, thus, what is perceived.
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  • Frames of reference in unilateral neglect and visual perception: A computational perspective.Michael C. Mozer - 2002 - Psychological Review 109 (1):156-185.
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  • Image-based object recognition in man, monkey and machine.Michael J. Tarr & Heinrich H. Bülthoff - 1998 - Cognition 67 (1-2):1-20.
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  • Is Thagard's theory of explanatory coherence the new logical positivism?Eric Dietrich - 1989 - Behavioral and Brain Sciences 12 (3):473-474.
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  • Neuropsychological inference with an interactive brain: A critique of the “locality” assumption.Martha J. Farah - 1994 - Behavioral and Brain Sciences 17 (1):43-61.
    When cognitive neuropsychologists make inferences about the functional architecture of the normal mind from selective cognitive impairments they generally assume that the effects of brain damage are local, that is, that the nondamaged components of the architecture continue to function as they did before the damage. This assumption follows from the view that the components of the functional architecture are modular, in the sense of being informationally encapsulated. In this target article it is argued that this “locality” assumption is probably (...)
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  • On beyond Zebra: The relation of linguistic and visual information.Ray Jackendoff - 1987 - Cognition 26 (2):89-114.
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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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  • Potential disparities between imagining and preparing motor skills.Charles B. Walter & Stephan P. Swinnen - 1994 - Behavioral and Brain Sciences 17 (2):227-228.
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  • Jeannerod's representing brain: Image or illusion?Jean Pailhous & Mireille Bonnard - 1994 - Behavioral and Brain Sciences 17 (2):215-216.
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  • Involvement of primary motor cortex in motor imagery and mental practice.Mark Hallett, Jordan Fieldman, Leonardo G. Cohen, Norihiro Sadato & Alvaro Pascual-Leone - 1994 - Behavioral and Brain Sciences 17 (2):210-210.
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  • The symbolic brain or the invisible hand?René van Hezewijk & Edward H. F. de Haan - 1994 - Behavioral and Brain Sciences 17 (1):85-86.
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  • Computational levels again.Mike Oaksford - 1994 - Behavioral and Brain Sciences 17 (1):76-77.
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  • Le Physique, le Morphologique, le Symbolique.Jean Petitot - 1990 - Revue de Synthèse 111 (1-2):139-183.
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  • Seeing and imagining in the cerebral hemispheres: A computational approach.Stephen M. Kosslyn - 1987 - Psychological Review 94 (2):148-175.
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  • Attention to detail?Malcolm P. Young, Ian R. Paterson & David I. Perrett - 1989 - Behavioral and Brain Sciences 12 (3):417-418.
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  • Neurophysiology of preparation, movement and imagery.Jerome N. Sanes - 1994 - Behavioral and Brain Sciences 17 (2):221-223.
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  • Synergy versus schema.P. C. Kainen - 1994 - Behavioral and Brain Sciences 17 (2):212-212.
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  • Neuropsychology: Going loco?Rosaleen A. McCarthy - 1994 - Behavioral and Brain Sciences 17 (1):73-74.
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  • Distributed locality and large-scale neurocognitive networks.M. Marsel Mesulam - 1994 - Behavioral and Brain Sciences 17 (1):74-76.
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  • What Impacts Early Language Skills? Effects of Social Disparities and Different Process Characteristics of the Home Learning Environment in the First 2 Years.Manja Attig & Sabine Weinert - 2020 - Frontiers in Psychology 11:557751.
    It is well documented that the language skills of preschool children differ substantially and that these differences are highly predictive of their later academic success and achievements. Especially in the early phases of children’s lives, the importance of different structural and process characteristics of the home learning environment (HLE) has been emphasized and research results have documented that process characteristics such as the quality of parental interaction behavior and the frequency of joint activities vary according to the socio-economic status (SES) (...)
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  • A self-organizing perceptual system.James R. Levenick - 1989 - Behavioral and Brain Sciences 12 (3):409-410.
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  • Separability of reference frame distinctions from motor and visual images.Gary W. Strong - 1994 - Behavioral and Brain Sciences 17 (2):224-225.
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  • Moving beyond imagination.Robert Dufour, Martin H. Fischer & David A. Rosenbaum - 1994 - Behavioral and Brain Sciences 17 (2):206-207.
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  • Neurocomputing and modularity.Joachim Diederich - 1994 - Behavioral and Brain Sciences 17 (1):68-69.
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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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