16 found
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  1.  84
    The development of features in object concepts.Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut - 1998 - Behavioral and Brain Sciences 21 (1):1-17.
    According to one productive and influential approach to cognition, categorization, object recognition, and higher level cognitive processes operate on a set of fixed features, which are the output of lower level perceptual processes. In many situations, however, it is the higher level cognitive process being executed that influences the lower level features that are created. Rather than viewing the repertoire of features as being fixed by low-level processes, we present a theory in which people create features to subserve the representation (...)
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  2.  54
    Dr. Angry and Mr. Smile: when categorization flexibly modifies the perception of faces in rapid visual presentations.Philippe G. Schyns & Aude Oliva - 1999 - Cognition 69 (3):243-265.
  3.  26
    Diagnostic recognition: task constraints, object information, and their interactions.Philippe G. Schyns - 1998 - Cognition 67 (1-2):147-179.
  4.  23
    A Modular Neural Network Model of Concept Acquisition.Philippe G. Schyns - 1991 - Cognitive Science 15 (4):461-508.
    Previous neural network models of concept learning were mainly implemented with supervised learning schemes. However, studies of human conceptual memory have shown that concepts may be learned without a teacher who provides the category name to associate with exemplars. A modular neural network architecture that realizes concept acquisition through two functionally distinct operations, categorizing and naming, is proposed as an alternative. An unsupervised algorithm realizes the categorizing module by constructing representations of categories compatible with prototype theory. The naming module associates (...)
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  5.  13
    Information and viewpoint dependence in face recognition.Harold Hill, Philippe G. Schyns & Shigeru Akamatsu - 1997 - Cognition 62 (2):201-222.
  6.  6
    A Modular Neural Network Model of Concept Acquisition.Philippe G. Schyns - 1991 - Cognitive Science 15 (4):461-508.
    Previous neural network models of concept learning were mainly implemented with supervised learning schemes. However, studies of human conceptual memory have shown that concepts may be learned without a teacher who provides the category name to associate with exemplars. A modular neural network architecture that realizes concept acquisition through two functionally distinct operations, categorizing and naming, is proposed as an alternative. An unsupervised algorithm realizes the categorizing module by constructing representations of categories compatible with prototype theory. The naming module associates (...)
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  7.  14
    Spatio-temporal dynamics of face recognition in a flash: itʼs in the eyes.Céline Vinette, Frédéric Gosselin & Philippe G. Schyns - 2004 - Cognitive Science 28 (2):289-301.
    We adapted the Bubbles procedure [Vis. Res. 41 (2001) 2261] to examine the effective use of information during the first 282 ms of face identification. Ten participants each viewed a total of 5100 faces sub-sampled in space–time. We obtained a clear pattern of effective use of information: the eye on the left side of the image became diagnostic between 47 and 94 ms after the onset of the stimulus; after 94 ms, both eyes were used effectively. This preference for the (...)
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  8.  11
    Why do we SLIP to the basic level? Computational constraints and their implementation.Frédéric Gosselin & Philippe G. Schyns - 2001 - Psychological Review 108 (4):735-758.
  9.  18
    ERP evidence for task modulations on face perceptual processing at different spatial scales.Valérie Goffaux, Boutheina Jemel, Corentin Jacques, Bruno Rossion & Philippe G. Schyns - 2003 - Cognitive Science 27 (2):313-325.
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  10.  16
    Spatio-temporal dynamics of face recognition in a flash: itʼs in the eyes.Céline Vinette, Frédéric Gosselin & Philippe G. Schyns - 2004 - Cognitive Science 28 (2):289-301.
    We adapted the Bubbles procedure [Vis. Res. 41 (2001) 2261] to examine the effective use of information during the first 282 ms of face identification. Ten participants each viewed a total of 5100 faces sub-sampled in space–time. We obtained a clear pattern of effective use of information: the eye on the left side of the image became diagnostic between 47 and 94 ms after the onset of the stimulus; after 94 ms, both eyes were used effectively. This preference for the (...)
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  11.  26
    What goes up may come down: perceptual process and knowledge access in the organization of complex visual patterns by young infants.Paul C. Quinn & Philippe G. Schyns - 2003 - Cognitive Science 27 (6):923-935.
    The relationship between perceptual categorization and organization processes in 3‐ to 4‐month‐old infants was explored. The question was whether an invariant part abstracted during category learning could interfere with Gestalt organizational processes. Experiment 1 showed that the infants could parse a circle in accord with good continuation from visual patterns consisting of a circle and a complex polygon. In Experiments 2 and 3, however, this parsing was interfered with by a prior category familiarization experience in which infants were presented with (...)
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  12.  37
    You are about to see pictorial representations!Frédéric Gosselin & Philippe G. Schyns - 2002 - Behavioral and Brain Sciences 25 (2):191-192.
    Pylyshyn argues against representations with pictorial properties that would be superimposed on a scene. We present evidence against this view, and a new method to depict pictorial properties. We propose a continuum between the top-down generation of internal signals (imagery) and the bottom-up signals from the outside world. Along the continuum, superstitious perceptions provide a method to tackle representational issues.
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  13.  25
    A picture is worth thousands of trials: rendering the use of visual information from spiking neurons to recognition.Frédéric Gosselin & Philippe G. Schyns - 2004 - Cognitive Science 28 (2):141-146.
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  14. Special issue rendering the use of visual information from spiking neurons to recognition a picture is worth thousands of trials: Rendering the use of visual information from spiking neurons to recognition 141.Frédéric Gosselin, Philippe G. Schyns, Dario Ringach, Robert Shapley, Jason M. Gold, Allison B. Sekuler, Partrick J. Bennett, Michael C. Mangini, Irving Biederman & Cheryl Olman - 2004 - Cognitive Science 28:1035-1039.
     
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  15.  72
    The case for cognitive penetrability.Philippe G. Schyns - 1999 - Behavioral and Brain Sciences 22 (3):394-395.
    Pylyshyn acknowledges that cognition intervenes in determining the nature of perception when attention is allocated to locations or properties prior to the operation of early vision. I present evidence that scale perception (one function of early vision) is cognitively penetrable and argue that Pylyshyn's criterion covers not a few, but many situations of recognition. Cognitive penetrability could be their modus operandi.
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  16.  20
    Ways of featuring in object categorization.Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut - 1998 - Behavioral and Brain Sciences 21 (1):41-54.
    The origin of features from nonfeatural information is a problem that should concern all theories of object categorization and recognition, not just the flexible feature approach. In contrast to the idea that new features must originate from combinations of simpler fixed features, we argue that holistic features can be created from a direct imprinting on the visual medium. Furthermore, featural descriptions can emerge from processes that by themselves do not operate on feature detectors. Once acquired, features can be decomposed into (...)
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