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  1. The cognitive and neural correlates of “tactile consciousness”: A multisensory perspective.Alberto Gallace & Charles Spence - 2008 - Consciousness and Cognition 17 (1):370-407.
    People’s awareness of tactile stimuli has been investigated in far less detail than their awareness of stimuli in other sensory modalities. In an attempt to fill this gap, we provide an overview of studies that are pertinent to the topic of tactile consciousness. We discuss the results of research that has investigated phenomena such as “change blindness”, phantom limb sensations, and numerosity judgments in tactile perception, together with the results obtained from the study of patients affected by deficits that can (...)
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  • Perceptual awareness and its loss in unilateral neglect and extinction.John Driver & Patrik Vuilleumier - 2001 - Cognition 79 (1):39-88.
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  • Statistical learning of distractor locations in visual search.Bei Zhang - unknown
    Observers can learn the locations where salient distractors appear frequently to reduce potential interference. The effect that observers appear to learn the spatial distribution of salient but task-irrelevant distractors in the visual environment to reduce the interference caused by such distractors was referred to as ‘statistical learning of distractor locations’. Emerging studies agreed that the observed reduction of distractor interference is largely attributable to better suppression of distractor in frequent locations, however, concerning how this spatial distractor suppression is implemented within (...)
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  • Cognitive Recycling.David L. Barack - 2019 - British Journal for the Philosophy of Science 70 (1):239-268.
    Theories in cognitive science, and especially cognitive neuroscience, often claim that parts of cognitive systems are reused for different cognitive functions. Philosophical analysis of this concept, however, is rare. Here, I first provide a set of criteria for an analysis of reuse, and then I analyse reuse in terms of the functions of subsystems. I also discuss how cognitive systems execute cognitive functions, the relation between learning and reuse, and how to differentiate reuse from related concepts like multi-use, redundancy, and (...)
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  • Top-down versus bottom-up attentional control: a failed theoretical dichotomy.Edward Awh, Artem V. Belopolsky & Jan Theeuwes - 2012 - Trends in Cognitive Sciences 16 (8):437.
    Prominent models of attentional control assert a dichotomy between top-down and bottom-up control, with the former determined by current selection goals and the latter determined by physical salience. This theoretical dichotomy, however, fails to explain a growing number of cases in which neither current goals nor physical salience can account for strong selection biases. For example, equally salient stimuli associated with reward can capture attention, even when this contradicts current selection goals. Thus, although 'top-down' sources of bias are sometimes defined (...)
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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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  • The what and why of binding: The modeler's perspective.Christoph von der Malsburg - 1999 - Neuron 24:95-104.
    In attempts to formulate a computational understanding of brain function, one of the fundamental concerns is the data structure by which the brain represents information. For many decades, a conceptual framework has dominated the thinking of both brain modelers and neurobiologists. That framework is referred to here as "classical neural networks." It is well supported by experimental data, although it may be incomplete. A characterization of this framework will be offered in the next section. Difficulties in modeling important functional aspects (...)
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  • Cognitive Recycling.David L. Barack - 2016 - British Journal for the Philosophy of Science:axx024.
    Theories in cognitive science, and especially cognitive neuroscience, often claim that parts of cognitive systems are reused for different cognitive functions. Philosophical analysis of this concept, however, is rare. Here, I first provide a set of criteria for an analysis of reuse, and then I analyse reuse in terms of the functions of subsystems. I also discuss how cognitive systems execute cognitive functions, the relation between learning and reuse, and how to differentiate reuse from related concepts like multi-use, redundancy, and (...)
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  • Oculomotor skill supports the development of object representations.Matthew Schlesinger & Dima Amso - 2011 - Behavioral and Brain Sciences 34 (3):147-148.
    Are infants' initial object representations innately specified? We examine the development of perceptual completion in infants by highlighting two issues. First, perceptual completion is supported by neural mechanisms that rely on experience with the environment. Second, we present behavioral and modeling data that demonstrate how perceptual completion can emerge as a consequence of changes in visual attention and oculomotor skill.
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  • How Infants Learn About the Visual World.Scott P. Johnson - 2010 - Cognitive Science 34 (7):1158-1184.
    The visual world of adults consists of objects at various distances, partly occluding one another, substantial and stable across space and time. The visual world of young infants, in contrast, is often fragmented and unstable, consisting not of coherent objects but rather surfaces that move in unpredictable ways. Evidence from computational modeling and from experiments with human infants highlights three kinds of learning that contribute to infants’ knowledge of the visual world: learning via association, learning via active assembly, and learning (...)
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  • Distributed neural blackboards could be more attractive.André Grüning & Alessandro Treves - 2006 - Behavioral and Brain Sciences 29 (1):79-80.
    The target article demonstrates how neurocognitive modellers should not be intimidated by challenges such as Jackendoff's and should explore neurally plausible implementations of linguistic constructs. The next step is to take seriously insights offlered by neuroscience, including the robustness allowed by analogue computation with distributed representations and the power of attractor dynamics in turning analogue into nearly discrete operations.
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  • Neurocognitive Development of the Resolution of Selective Visuo-Spatial Attention: Functional MRI Evidence From Object Tracking.Kerstin Wolf, Elena Galeano Weber, Jasper J. F. van den Bosch, Steffen Volz, Ulrike Nöth, Ralf Deichmann, Marcus J. Naumer, Till Pfeiffer & Christian J. Fiebach - 2018 - Frontiers in Psychology 9:373139.
    Our ability to select relevant information from the environment is limited by the resolution of attention – i.e., the minimum size of the region that can be selected. Neural mechanisms that underlie this limit and its development are not yet understood. Functional MRI was performed during an object tracking task in 7- and 11-year-old children, and in young adults. Object tracking activated canonical fronto-parietal attention systems and motion-sensitive area MT in children as young as 7 years. Object tracking performance improved (...)
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  • Dissociations between spatial-attentional processes within parietal cortex: insights from hybrid spatial cueing and change detection paradigms.Rik Vandenberghe & Céline R. Gillebert - 2013 - Frontiers in Human Neuroscience 7.
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  • The dorsal attentional system in oculomotor learning of predictive information.Philip Tseng, Chi-Fu Chang, Hui-Yan Chiau, Wei-Kuang Liang, Chia-Lun Liu, Tzu-Yu Hsu, Daisy L. Hung, Ovid J. L. Tzeng & Chi-Hung Juan - 2013 - Frontiers in Human Neuroscience 7.
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  • Object-based visual attention for computer vision.Yaoru Sun & Robert Fisher - 2003 - Artificial Intelligence 146 (1):77-123.
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  • (1 other version)Selective visual attention and perceptual coherence.John T. Serences & Steven Yantis - 2006 - Trends in Cognitive Sciences 10 (1):38-45.
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  • Competition between Visual Events Modulates the Influence of Salience during Free-Viewing of Naturalistic Videos.Davide Nardo, Paola Console, Carlo Reverberi & Emiliano Macaluso - 2016 - Frontiers in Human Neuroscience 10.
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  • Cortical Dynamics of Figure-Ground Separation in Response to 2D Pictures and 3D Scenes: How V2 Combines Border Ownership, Stereoscopic Cues, and Gestalt Grouping Rules. [REVIEW]Stephen Grossberg - 2015 - Frontiers in Psychology 6.
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  • Binocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements.Stephen Grossberg, Karthik Srinivasan & Arash Yazdanbakhsh - 2014 - Frontiers in Psychology 5.
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  • Dynamic Weighting of Feature Dimensions in Visual Search: Behavioral and Psychophysiological Evidence.Joseph Krummenacher & Hermann J. Müller - 2012 - Frontiers in Psychology 3.
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  • Combined contributions of feedforward and feedback inputs to bottom-up attention.Peyman Khorsand, Tirin Moore & Alireza Soltani - 2015 - Frontiers in Psychology 6.
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  • Attention as a decision in information space.Jacqueline Gottlieb & Puiu Balan - 2010 - Trends in Cognitive Sciences 14 (6):240-248.
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  • Reward alters the perception of time.Michel Failing & Jan Theeuwes - 2016 - Cognition 148 (C):19-26.
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  • Rejection positivity predicts trial-to-trial reaction times in an auditory selective attention task: a computational analysis of inhibitory control.Sufen Chen & Robert D. Melara - 2014 - Frontiers in Human Neuroscience 8.
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  • The effect of linguistic and visual salience in visual world studies.Federica Cavicchio, David Melcher & Massimo Poesio - 2014 - Frontiers in Psychology 5.
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  • Précis of the origin of concepts.Susan Carey - 2011 - Behavioral and Brain Sciences 34 (3):113-124.
    A theory of conceptual development must specify the innate representational primitives, must characterize the ways in which the initial state differs from the adult state, and must characterize the processes through which one is transformed into the other. The Origin of Concepts (henceforth TOOC) defends three theses. With respect to the initial state, the innate stock of primitives is not limited to sensory, perceptual, or sensorimotor representations; rather, there are also innate conceptual representations. With respect to developmental change, conceptual development (...)
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  • Neurophysiological correlates of the reflexive orienting of spatial attention.Jillian H. Fecteau, Andrew H. Bell, Michael C. Dorris & Douglas P. Munoz - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press.
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  • Spatial Remapping Mechanisms and their impairments in patients with right parietal lesions.Leandra Bucher - unknown
    We analysed location priming effects, and thus the ability to integrate visual information across subsequent trials in the three studies presented in the following chapters. Based on previous findings in healthy subjects priming effects occur under conditions that require no attentional shifts in-between subsequent trials, i.e. with the subject’s fixation maintained and the search displays presented at retinotopically equal locations with respect to the fixation cross. In study 1 we tested whether location-based priming effects would outlive spatial shifts of attention (...)
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  • Sensorimotor transformations in the posterior parietal cortex.Richard Andersen, Daniella Meeker, Bijan Pesaran, Boris Breznen, Christopher Buneo & Hans Scherberger - 2004 - In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences III. MIT Press.
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