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  1. The theory and practice of attention.Kyle R. Cave - 1990 - Behavioral and Brain Sciences 13 (3):445-446.
  • Visual surveillance in a dynamic and uncertain world.Hilary Buxton & Shaogang Gong - 1995 - Artificial Intelligence 78 (1-2):431-459.
  • Localization and homing using combinations of model views.Ronen Basri & Ehud Rivlin - 1995 - Artificial Intelligence 78 (1-2):327-354.
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  • Mapping visual spatial prototypes: Multiple reference frames shape visual memory.Elena Azañón, Raffaele Tucciarelli, Metodi Siromahov, Elena Amoruso & Matthew R. Longo - 2020 - Cognition 198 (C):104199.
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  • Adaptation and attention.Steven W. Zucker - 1990 - Behavioral and Brain Sciences 13 (3):458-458.
  • Complexity, guided search, and the data.Jeremy M. Wolfe - 1990 - Behavioral and Brain Sciences 13 (3):457-458.
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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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  • Toward a biased competition account of object-based segregation and attention.Shaun P. Vecera - 2000 - Brain and Mind 1 (3):353-384.
    Because the visual system cannot process all of the objects, colors, and features present in a visual scene, visual attention allows some visual stimuli to be selected and processed over others. Most research on visual attention has focused on spatial or location-based attention, in which the locations occupied by stimuli are selected for further processing. Recent research, however, has demonstrated the importance of objects in organizing (or segregating) visual scenes and guiding attentional selection. Because of the long history of spatial (...)
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  • What is it like to be a patient with apperceptive agnosia?Shaun P. Vecera & Kendra S. Gilds - 1997 - Consciousness and Cognition 6 (2-3):237-66.
    Neuropsychological deficits have been widely used to elucidate normal cognitive functioning. Can patients with such deficits also be used to understand conscious visual experience? In this paper, we ask what it would be like to be a patient with apperceptive agnosia . Philosophical analyses of such questions have suggested that subjectively experiencing what another person experiences would be impossible. Although such roadblocks into the conscious experience of others exist, the experimental study of both patients and neurologically normal subjects can be (...)
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  • On brains and models.William R. Uttal - 1990 - Behavioral and Brain Sciences 13 (3):456-457.
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  • Aligning pictorial descriptions: An approach to object recognition.Shimon Ullman - 1989 - Cognition 32 (3):193-254.
  • Some important constraints on complexity.Leonard Uhr - 1990 - Behavioral and Brain Sciences 13 (3):455-456.
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  • Analyzing vision at the complexity level.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):423-445.
    The general problem of visual search can be shown to be computationally intractable in a formal, complexity-theoretic sense, yet visual search is extensively involved in everyday perception, and biological systems manage to perform it remarkably well. Complexity level analysis may resolve this contradiction. Visual search can be reshaped into tractability through approximations and by optimizing the resources devoted to visual processing. Architectural constraints can be derived using the minimum cost principle to rule out a large class of potential solutions. The (...)
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  • A little complexity analysis goes a long way.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):458-469.
  • A contour propagation approach to surface filling-in and volume formation.Peter Ulric Tse - 2002 - Psychological Review 109 (1):91-115.
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  • Search and the detection and integration of features.Anne Treisman - 1990 - Behavioral and Brain Sciences 13 (3):454-455.
  • Algorithmic complexity analysis does not apply to behaving organisms.Gary W. Strong - 1990 - Behavioral and Brain Sciences 13 (3):453-454.
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  • Principles of object perception.Elizabeth S. Spelke - 1990 - Cognitive Science 14 (1):29--56.
    Research on human infants has begun to shed light on early-developing processes for segmenting perceptual arrays into objects. Infants appear to perceive objects by analyzing three-dimensional surface arrangements and motions. Their perception does not accord with a general tendency to maximize figural goodness or to attend to nonaccidental geometric relations in visual arrays. Object perception does accord with principles governing the motions of material bodies: Infants divide perceptual arrays into units that move as connected wholes, that move separately from one (...)
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  • Is it really that complex? After all, there are no green elephants.Ralph M. Siegel - 1990 - Behavioral and Brain Sciences 13 (3):453-453.
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  • Detecting high-level and low-level properties in visual images and visual percepts.Romke Rouw, Stephen M. Kosslyn & Ronald Hamel - 1997 - Cognition 63 (2):209-226.
  • Preemption effects in visual search: Evidence for low-level grouping.Ronald A. Rensink & James T. Enns - 1995 - Psychological Review 102 (1):101-130.
    Experiments are presented showing that visual search for Mueller-Lyer (ML) stimuli is based on complete configurations, rather than component segments. Segments easily detected in isolation were difficult to detect when embedded in a configuration, indicating preemption by low-level groups. This preemption—which caused stimulus components to become inaccessible to rapid search—was an all-or-nothing effect, and so could serve as a powerful test of grouping. It is shown that these effects are unlikely to be due to blurring by simple spatial filters at (...)
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  • Inhibition drives configural superiority of illusory Gestalt: Combined behavioral and drift–diffusion model evidence.Qi-Yang Nie, Mara Maurer, Hermann J. Müller & Markus Conci - 2016 - Cognition 150 (C):150-162.
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  • Support for an intermediate pictorial representation.Michael Mohnhaupt & Bernd Neumann - 1990 - Behavioral and Brain Sciences 13 (3):452-453.
  • Multi-interfaces approach to situated knowledge management for complex instruments: first step toward industrial deployment. [REVIEW]Loic Merckel & Toyoaki Nishida - 2010 - AI and Society 25 (2):211-223.
    This paper presents an approach to managing knowledge specific to a particular location for complex instruments. The goal is to improve the knowledge communication between experts and end-users of scientific instruments. We propose a computational framework that integrates augmented reality and augmented virtuality as interface for manipulating knowledge. The augmented virtuality-based interface can be produced and distributed without extra costs. It allows knowledge dissemination at a larger scale. The prominent feature of our model is that the knowledge representation is independent (...)
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  • Probability theory as an alternative to complexity.David G. Lowe - 1990 - Behavioral and Brain Sciences 13 (3):451-452.
  • Complexity is complicated.Paul R. Kube - 1990 - Behavioral and Brain Sciences 13 (3):450-451.
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  • Analyzing vision at the complexity level: Misplaced complexity?Lester E. Krueger & Chiou-Yueh Tsav - 1990 - Behavioral and Brain Sciences 13 (3):449-450.
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  • Thinking Visually.Kris N. Kirby & Stephen M. Kosslyn - 1990 - Mind and Language 5 (4):324-341.
  • 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.
  • Is unbounded visual search intractable?Andrew Heathcote & D. J. K. Mewhort - 1990 - Behavioral and Brain Sciences 13 (3):449-449.
  • Preattentive recovery of three-dimensional orientation from line drawings.James T. Enns & Ronald A. Rensink - 1991 - Psychological Review 98 (3):335-351.
    It has generally been assumed that rapid visual search is based on simple features and that spatial relations between features are irrelevant for this task. Seven experiments involving search for line drawings contradict this assumption; a major determinant of search is the presence of line junctions. Arrow- and Y-junctions were detected rapidly in isolation and when they were embedded in drawings of rectangular polyhedra. Search for T-junctions was considerably slower. Drawings containing T-junctions often gave rise to very slow search even (...)
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  • What are the insights gained train the complexity analysis?Jan-Olof Eklundh - 1990 - Behavioral and Brain Sciences 13 (3):448-449.
  • Computational theories of object recognition.Shimon Edelman - 1997 - Trends in Cognitive Sciences 1 (8):296-304.
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  • Task-dependent constraints on perceptual architectures.Roy Eagleson - 1990 - Behavioral and Brain Sciences 13 (3):447-448.
  • Computation, complexity, and systems in nature.Bradley W. Dickinson - 1990 - Behavioral and Brain Sciences 13 (3):447-447.
  • Complexity at the neuronal level.Robert Desimone - 1990 - Behavioral and Brain Sciences 13 (3):446-446.
  • Evaluation of Errors Encountered in Photogrammetric Studies on Lower Extremities.Gkionoul Nteli Chatzioglou, Kader Yılar, Figen Gövsa, Yelda Pınar & Özcan Gayretli - 2023 - European Journal of Therapeutics 29 (2):155-162.
    Objective: The aim of our study is to reveal the errors that can be encountered during the shooting of photogrammetric studies on the lower extremities. -/- Methods: We revealed the necessary tools that used during photogrammetry measurements of the lower limb. Also, the errors have been encountered of our two previous studies performed on photogrammetry of lower limbs. The technical errors or incorrect positioning of 20 from 220 volunteers were encountered. -/- Results: The identified errors of 20 volunteers’ photographs related (...)
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  • Generalization to Novel Images in Upright and Inverted Faces.Shimon Edelman - unknown
    An image of a face depends not only on its shape, but also on the viewpoint, illumination conditions, and facial expression. A face recognition system must overcome the changes in face appearance induced by these factors. This paper investigate two related questions: the capacity of the human visual system to generalize the recognition of faces to novel images, and the level at which this generalization occurs. We approach this problems by comparing the identi cation and generalization capacity for upright and (...)
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  • Remembering without storing: beyond archival models in the science and philosophy of human memory.Ian O'Loughlin - 2014 - Dissertation,
    Models of memory in cognitive science and philosophy have traditionally explained human remembering in terms of storage and retrieval. This tendency has been entrenched by reliance on computationalist explanations over the course of the twentieth century; even research programs that eschew computationalism in name, or attempt the revision of traditional models, demonstrate tacit commitment to computationalist assumptions. It is assumed that memory must be stored by means of an isomorphic trace, that memory processes must divide into conceptually distinct systems and (...)
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