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  1. Representation is representation of similarities.Shimon Edelman - 1998 - Behavioral and Brain Sciences 21 (4):449-467.
    Intelligent systems are faced with the problem of securing a principled (ideally, veridical) relationship between the world and its internal representation. I propose a unified approach to visual representation, addressing both the needs of superordinate and basic-level categorization and of identification of specific instances of familiar categories. According to the proposed theory, a shape is represented by its similarity to a number of reference shapes, measured in a high-dimensional space of elementary features. This amounts to embedding the stimulus in a (...)
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  • Adaptation and attention.Steven W. Zucker - 1990 - Behavioral and Brain Sciences 13 (3):458-458.
  • Brain Processes While Struggling With Evidence Accumulation During Facial Emotion Recognition: An ERP Study.Yu-Fang Yang, Eric Brunet-Gouet, Mariana Burca, Emmanuel K. Kalunga & Michel-Ange Amorim - 2020 - Frontiers in Human Neuroscience 14.
  • Complexity, guided search, and the data.Jeremy M. Wolfe - 1990 - Behavioral and Brain Sciences 13 (3):457-458.
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  • On brains and models.William R. Uttal - 1990 - Behavioral and Brain Sciences 13 (3):456-457.
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  • Three-dimensional object recognition based on the combination of views.Shimon Ullman - 1998 - Cognition 67 (1-2):21-44.
  • 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.
  • Search and the detection and integration of features.Anne Treisman - 1990 - Behavioral and Brain Sciences 13 (3):454-455.
  • Image-based object recognition in man, monkey and machine.Michael J. Tarr & Heinrich H. Bülthoff - 1998 - Cognition 67 (1-2):1-20.
  • The lemon illusion: seeing curvature where there is none.Lars Strother, Kyle W. Killebrew & Gideon P. Caplovitz - 2015 - Frontiers in Human Neuroscience 9.
  • 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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  • 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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  • Predicting ordinary objects into the world.Arthur C. Schwaninger - forthcoming - Philosophical Psychology.
    Ordinary objects are experienced to endure over space and time, to not be collocated with each other, to be composed of proper parts, and to survive the loss of some of their parts. These qualities are on the one hand difficult to reconcile for theorists of perception and on the other hand pose a variety of problems when considered in isolation. Relying on the theoretical framework of predictive processing, this paper argues that we can use the category of a robust (...)
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  • Putting knowledge into a visual shape representation.Eric Saund - 1992 - Artificial Intelligence 54 (1-2):71-119.
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  • What's lost in inverted faces?Gillian Rhodes, Susan Brake & Anthony P. Atkinson - 1993 - Cognition 47 (1):25-57.
  • Rating the similarity of simple perceptual stimuli: asymmetries induced by manipulating exposure frequency.Thad A. Polk, Charles Behensky, Richard Gonzalez & Edward E. Smith - 2002 - Cognition 82 (3):B75-B88.
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  • Part-Based Segmentation and Modeling of Range Data by Moving Target.Roberto Pirrone - 2001 - Journal of Intelligent Systems 11 (4):217-248.
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  • Evidence accumulation in cell populations responsive to faces: an account of generalisation of recognition without mental transformations.D. I. Perrett, M. W. Oram & E. Ashbridge - 1998 - Cognition 67 (1-2):111-145.
  • Frames of reference in unilateral neglect and visual perception: A computational perspective.Michael C. Mozer - 2002 - Psychological Review 109 (1):156-185.
  • Support for an intermediate pictorial representation.Michael Mohnhaupt & Bernd Neumann - 1990 - Behavioral and Brain Sciences 13 (3):452-453.
  • Mental representation and the subjectivity of consciousness.Pete Mandik - 2001 - Philosophical Psychology 14 (2):179-202.
    Many have urged that the biggest obstacles to a physicalistic understanding of consciousness are the problems raised in connection with the subjectivity of consciousness. These problems are most acutely expressed in consideration of the knowledge argument against physicalism. I develop a novel account of the subjectivity of consciousness by explicating the ways in which mental representations may be perspectival. Crucial features of my account involve analogies between the representations involved in sensory experience and the ways in which pictorial representations exhibit (...)
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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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  • Developmental Commonalities between Object and Face Recognition in Adolescence.Martin Jüttner, Elley Wakui, Dean Petters & Jules Davidoff - 2016 - Frontiers in Psychology 7.
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  • Is unbounded visual search intractable?Andrew Heathcote & D. J. K. Mewhort - 1990 - Behavioral and Brain Sciences 13 (3):449-449.
  • Orientation-invariant object recognition: evidence from repetition blindness.Irina M. Harris & Paul E. Dux - 2005 - Cognition 95 (1):73-93.
    The question of whether object recognition is orientation-invariant or orientation-dependent was investigated using a repetition blindness (RB) paradigm. In RB, the second occurrence of a repeated stimulus is less likely to be reported, compared to the occurrence of a different stimulus, if it occurs within a short time of the first presentation. This failure is usually interpreted as a difficulty in assigning two separate episodic tokens to the same visual type. Thus, RB can provide useful information about which representations are (...)
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  • Similarity as transformation.Ulrike Hahn, Nick Chater & Lucy B. Richardson - 2003 - Cognition 87 (1):1-32.
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  • View combination: A generalization mechanism for visual recognition.Alinda Friedman, David Waller, Tyler Thrash, Nathan Greenauer & Eric Hodgson - 2011 - Cognition 119 (2):229-241.
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  • Orientation Invariance and Geometric Primitives in Shape Recognition.Martha J. Farah, Robin Rochlin & Karen L. Klein - 1994 - Cognitive Science 18 (2):325-344.
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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.
  • Towards structural systematicity in distributed, statically bound visual representations.Shimon Edelman & Nathan Intrator - 2003 - Cognitive Science 23 (1):73-110.
    The problem of representing the spatial structure of images, which arises in visual object processing, is commonly described using terminology borrowed from propositional theories of cognition, notably, the concept of compositionality. The classical propositional stance mandates representations composed of symbols, which stand for atomic or composite entities and enter into arbitrarily nested relationships. We argue that the main desiderata of a representational system — productivity and systematicity — can (indeed, for a number of reasons, should) be achieved without recourse to (...)
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  • Towards structural systematicity in distributed, statically bound visual representations.Shimon Edelman & Nathan Intrator - 2003 - Cognitive Science 27 (1):73-109.
    The problem of representing the spatial structure of images, which arises in visual object processing, is commonly described using terminology borrowed from propositional theories of cognition, notably, the concept of compositionality. The classical propositional stance mandates representations composed of symbols, which stand for atomic or composite entities and enter into arbitrarily nested relationships. We argue that the main desiderata of a representational system—productivity and systematicity—can (indeed, for a number of reasons, should) be achieved without recourse to the classical, proposition‐like compositionality. (...)
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  • 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.
  • Dissociating the effects of angular disparity and image similarity in mental rotation and object recognition.Olivia S. Cheung, William G. Hayward & Isabel Gauthier - 2009 - Cognition 113 (1):128-133.
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  • The theory and practice of attention.Kyle R. Cave - 1990 - Behavioral and Brain Sciences 13 (3):445-446.
  • Localization and homing using combinations of model views.Ronen Basri & Ehud Rivlin - 1995 - Artificial Intelligence 78 (1-2):327-354.
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  • Attention to distinguishing features in object recognition: An interactive-iterative framework.Orit Baruch, Ruth Kimchi & Morris Goldsmith - 2018 - Cognition 170 (C):228-244.
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  • The emergence of events.Judith Avrahami & Yaakov Kareev - 1994 - Cognition 53 (3):239-261.
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  • Points of view from the brain's eye view: Subjectivity and neural representation.Pete Mandik - 2001 - In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Blackwell. pp. 312.
     
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  • Objective Subjectivity: Allocentric and Egocentric Representations in Thought and Experience.Pete Mandik - 2000 - Dissertation, Washington University
    Many philosophical issues concern questions of objectivity and subjectivity. Of these questions, there are two kinds. The first considers whether something is objective or subjective; the second what it _means_ for something to be objective or subjective.
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