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  1. 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 (...) macroscopic level, based on global aspects of the action (the duration and amount of effort involved) and the motor rules and constraints which predict the spatial path and kinematics of movements. A more microscopic neural account calls for a representation of object-oriented action. Object attributes are processed in different neural pathways depending on the kind of task the subject is performing. During object-oriented action, a pragmatic representation is activated in which object affordances are transformed into specific motor schemas (independently of other tasks such as object recognition). Animal as well as human clinical data implicate the posterior parietal and premotor cortical areas in schema instantiation. A mechanism is proposed that is able to encode the desired goal of the action and is applicable to different levels of representational organization. (shrink)
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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 (the incorrect combination of features into perceived objects in a stimulus array) have been demonstrated empirically (Treisman 1986; Treisman & Gelade 1980). 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 processes that may solve the tag-assignment problem in normal perception. One component of the model extracts pooled features and another provides attentional tags that correct illusory conjunctions. Our approach addresses two questions: (i) How can objects be identified from simultaneously attended features in a parallel, distributed representation? (ii) How can the spatial selectional requirements of such an attentional process be met by a separation of pathways for spatial and nonspatial processing? Our analysis of these questions yields a neurally plausible simulation of tag assignment based on synchronizing feature processing activity in a spatial focus of attention. (shrink)
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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.
  • 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 (...) not correct in general. Inferences about the functional architecture can nevertheless be made from neuropsychological data with an alternative set of assumptions, according to which human information processing is graded, distributed, and interactive. These claims are supported by three examples of neuropsychological dissociations and a comparison of the inferences obtained from these impairments with and without the locality assumption. The three dissociations are: selective impairments in knowledge of living things, disengagment of visual attention, and overt face recognition. In all three cases, the neuropsychological phenomena lead to more plausible inferences about the normal functional architecture when the locality assumption is abandoned. Also discussed are the relations between the locality assumption in neuropsychology and broader issues, including Fodor's modularity hypothesis and the choice between top-down and bottom-up research approaches. (shrink)
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  • Seeing and imagining in the cerebral hemispheres: A computational approach.Stephen M. Kosslyn -1987 -Psychological Review 94 (2):148-175.
  • Gestalt theory: An essay in philosophy.Barry Smith -1988 - InFoundations 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 (...) school such as Max Wertheimer, Wolfgang Kohler and Kurt Koffka. We shall see in what follows, however, that an adequate philosophical understanding of the Gestalt idea and of Ehrenfels' achievement will require a close examination not merely of the work of the Berlin school but also of a much wider tradition in Austrian and German philosophy in general. (shrink)
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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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  • Aligning pictorial descriptions: An approach to object recognition.Shimon Ullman -1989 -Cognition 32 (3):193-254.
  • Jeannerod's representing brain: Image or illusion?Jean Pailhous &Mireille Bonnard -1994 -Behavioral and Brain Sciences 17 (2):215-216.
  • Modeling separate processing pathways for spatial and object vision.Bruce Bridgeman -1989 -Behavioral and Brain Sciences 12 (3):398-398.
  • Scene-based and viewer-centered representations for comparing shapes.G. Hinton -1988 -Cognition 30 (1):1-35.
  • 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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  • The CODE theory of visual attention: An integration of space-based and object-based attention.Gordon D. Logan -1996 -Psychological Review 103 (4):603-649.
  • Frames of reference in vision and language: Where is above?Laura A. Carlson-Radvansky &David E. Irwin -1993 -Cognition 46 (3):223-244.
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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.
  • Visual cognition: a new look at the two-visual systems model.Marc Jeannerod &Pierre Jacob -unknown
    According to the two visual systems model, the visual processing of objects divides into semantic and pragmatic processing. We provide various criteria for this distinction. Further, we argue that both the semantic and pragmatic processing of visual information about objects should be divided into low-level processing and high-level processing. Finally, we re-evaluate the contribution of the human parietal lobe to the concious visual perception of spatial relations among objects.
     
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  • Computational Imagery.Janice Glasgow &Dimitri Papadias -1992 -Cognitive Science 16 (3):355-394.
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  • 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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  • 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) (...) of the family. Further, both structural and process characteristics are associated with children’s language development. As most of the studies focus on single indicators or didn’t take the dynamics of parenting behavior across age into account, the present paper aims to investigate the associations of different characteristics of the home learning environment as well as their potentially changing impact on the language skills of 2-year-old children. Using data of 2.272 families of the infant cohort study of the German National Educational Panel Study (NEPS), longitudinally assessed process characteristics (sensitivity in the sense of maternal responsivity to the child’s behavior and signals in mother–child interaction; maternal stimulation behavior which goes beyond the child’s actual level of action and development; frequency of joint picture book reading) and structural characteristics (mother’s education, equivalised household income, parental occupational status) were considered. Language skills (vocabulary and grammar) of the children at the age of two were measured by a standardized and validated parent report instrument (child language checklist). Results showed that (1) all three process characteristics of the home learning environment (HLE) are associated with the family’s SES; (2) across three assessment waves nearly all process characteristics predicted children’s vocabulary and grammar skills with some process-specific changes across waves; (3) despite separate direct effects of nearly all HLE-process characteristics in each wave, the amount of explained variance in a joint model including the HLE facets from each wave is hardly higher than in the separate models; and (4) socioeconomic background predicted both language facets of the children in each model even when controlling for the assessed process characteristics of the home learning environment. (shrink)
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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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  • Frames of reference in unilateral neglect and visual perception: A computational perspective.Michael C. Mozer -2002 -Psychological Review 109 (1):156-185.
  • Nonconscious motor images.Giacomo Rizzolatti -1994 -Behavioral and Brain Sciences 17 (2):220-220.
  • Is Thagard's theory of explanatory coherence the new logical positivism?Eric Dietrich -1989 -Behavioral and Brain Sciences 12 (3):473-474.
  • Mental rotation and orientation-invariant object recognition: Dissociable processes.Martha J. Farah &Katherine M. Hammond -1988 -Cognition 29 (1):29-46.
  • Call it what it is: Motor memory.Joaquin M. Fuster -1994 -Behavioral and Brain Sciences 17 (2):208-208.
  • Motor representations and reality.M. Jeannerod -1994 -Behavioral and Brain Sciences 17 (2):229-245.
  • 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 (...) and time and they are potentially governed by kinematic rules. Jeannerod acknowledges, however, that motor and visual imagery may not easily be separated, because actions take place in a spatial environment. I agree; in fact, I suggest here that visualization may generally be concomitant with, and may even subjectively dominate, motor imagery. (shrink)
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  • Action and attention.A. H. C. Van der Heijden &Bruce Bridgeman -1994 -Behavioral and Brain Sciences 17 (2):225-226.
  • Cognitive and motor implications of mental imagery.Romeo Chua &Daniel J. Weeks -1994 -Behavioral and Brain Sciences 17 (2):203-204.
  • Moving beyond imagination.Robert Dufour,Martin H. Fischer &David A. Rosenbaum -1994 -Behavioral and Brain Sciences 17 (2):206-207.
  • Visual-spatial movement goals.Digby Elliott &Brian K. V. Maraj -1994 -Behavioral and Brain Sciences 17 (2):207-207.
  • Motor memory – a memory of the future.David H. Ingvar -1994 -Behavioral and Brain Sciences 17 (2):210-211.
  • Are motor images based on kinestheticvisual matching?Robert W. Mitchell -1994 -Behavioral and Brain Sciences 17 (2):214-215.
  • Motor images are action plans.Wolfgang Prinz -1994 -Behavioral and Brain Sciences 17 (2):218-218.
  • Separability of reference frame distinctions from motor and visual images.Gary W. Strong -1994 -Behavioral and Brain Sciences 17 (2):224-225.
  • Motor simulation.Adam Morton -1994 -Behavioral and Brain Sciences 17 (2):215-215.
  • 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.
  • Prosopagnosia, conscious awareness and the interactive brain.Robert Van Gulick -1994 -Behavioral and Brain Sciences 17 (1):84-85.
  • Playing Flourens to Fodor's Gall.Tim van Gelder -1994 -Behavioral and Brain Sciences 17 (1):84-84.
  • Synchrony of spikes and attention in visual cortex.F. Aiple &B. Fischer -1989 -Behavioral and Brain Sciences 12 (3):397-397.
  • Information management support for international negotiations.Stephen J. Andriole -1993 -Theory and Decision 34 (3):313-328.
  • Do object affordances represent the functionality of an object?Ruzena Bajcsy -1994 -Behavioral and Brain Sciences 17 (2):202-202.
  • Simulating nonlocal systems: Rules of the game.John A. Bullinaria -1994 -Behavioral and Brain Sciences 17 (1):61-62.
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  • On the limitations of imaging imagining.Christopher A. Buneo &Martha Flanders -1994 -Behavioral and Brain Sciences 17 (2):202-203.
  • Local representations without the locality assumption.A. Mike Burton &Vicki Bruce -1994 -Behavioral and Brain Sciences 17 (1):62-63.
  • Do we need an early locus of attention to resolve illusory conjunctions?Brian E. Butler -1989 -Behavioral and Brain Sciences 12 (3):398-400.
  • Regional specialities.Brian Butterworth -1994 -Behavioral and Brain Sciences 17 (1):63-63.
  • Discarding locality assumptions: Problems and prospects.Ruth Campbell -1994 -Behavioral and Brain Sciences 17 (1):64-65.
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  • Locality, modularity and numerical cognition.Jamie I. D. Campbell -1994 -Behavioral and Brain Sciences 17 (1):63-64.
  • Casting one's net too widely?D. P. Carey &A. D. Milner -1994 -Behavioral and Brain Sciences 17 (1):65-66.

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