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  1. Multistable phenomena: Changing views in perception.David A. Leopold & Nikos K. Logothetis - 1999 - Trends in Cognitive Sciences 3 (7):254-264.
    Traditional explanations of multistable visual phenomena (e.g. ambiguous figures, perceptual rivalry) suggest that the basis for spontaneous reversals in perception lies in antagonistic connectivity within the visual system. In this review, we suggest an alternative, albeit speculative, explanation for visual multistability – that spontaneous alternations reflect responses to active, programmed events initiated by brain areas that integrate sensory and non-sensory information to coordinate a diversity of behaviors. Much evidence suggests that perceptual reversals are themselves more closely related to the expression (...)
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  • Predictive coding explains binocular rivalry: an epistemological review.Jakob Hohwy, Andreas Roepstorff & Karl Friston - 2008 - Cognition 108 (3):687-701.
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  • Does Perceptual Consciousness Overflow Cognitive Access? The Challenge from Probabilistic, Hierarchical Processes.Steven Gross & Jonathan Flombaum - 2017 - Mind and Language 32 (3):358-391.
    Does perceptual consciousness require cognitive access? Ned Block argues that it does not. Central to his case are visual memory experiments that employ post-stimulus cueing—in particular, Sperling's classic partial report studies, change-detection work by Lamme and colleagues, and a recent paper by Bronfman and colleagues that exploits our perception of ‘gist’ properties. We argue contra Block that these experiments do not support his claim. Our reinterpretations differ from previous critics' in challenging as well a longstanding and common view of visual (...)
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  • A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
    We propose that children employ specialized cognitive systems that allow them to recover an accurate “causal map” of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or “Bayes nets”. Children’s causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children (...)
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  • The perception of probability.C. R. Gallistel, Monika Krishan, Ye Liu, Reilly Miller & Peter E. Latham - 2014 - Psychological Review 121 (1):96-123.
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  • Merging the senses into a robust percept.Marc O. Ernst & Heinrich H. Bülthoff - 2004 - Trends in Cognitive Sciences 8 (4):162-169.
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  • Conscious, preconscious, and subliminal processing: A testable taxonomy.Stanislas Dehaene, Jean-Pierre Changeux, Lionel Naccache, Jérôme Sackur & Claire Sergent - 2006 - Trends in Cognitive Sciences 10 (5):204-211.
    Amidst the many brain events evoked by a visual stimulus, which are specifically associated with conscious perception, and which merely reflect non-conscious processing? Several recent neuroimaging studies have contrasted conscious and non-conscious visual processing, but their results appear inconsistent. Some support a correlation of conscious perception with early occipital events, others with late parieto-frontal activity. Here we attempt to make sense of those dissenting results. On the basis of a minimal neuro-computational model, the global neuronal workspace hypothesis, we propose a (...)
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  • Bayes in the Brain—On Bayesian Modelling in Neuroscience.Matteo Colombo & Peggy Seriès - 2012 - British Journal for the Philosophy of Science 63 (3):697-723.
    According to a growing trend in theoretical neuroscience, the human perceptual system is akin to a Bayesian machine. The aim of this article is to clearly articulate the claims that perception can be considered Bayesian inference and that the brain can be considered a Bayesian machine, some of the epistemological challenges to these claims; and some of the implications of these claims. We address two questions: (i) How are Bayesian models used in theoretical neuroscience? (ii) From the use of Bayesian (...)
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  • What is the Bandwidth of Perceptual Experience?Michael A. Cohen, Daniel C. Dennett & Nancy Kanwisher - 2016 - Trends in Cognitive Sciences 20 (5):324-335.
    Although our subjective impression is of a richly detailed visual world, numerous empirical results suggest that the amount of visual information observers can perceive and remember at any given moment is limited. How can our subjective impressions be reconciled with these objective observations? Here, we answer this question by arguing that, although we see more than the handful of objects, claimed by prominent models of visual attention and working memory, we still see far less than we think we do. Taken (...)
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  • Consciousness cannot be separated from function.Michael A. Cohen & Daniel C. Dennett - 2011 - Trends in Cognitive Sciences 15 (8):358--364.
    Here, we argue that any neurobiological theory based on an experience/function division cannot be empirically confirmed or falsified and is thus outside the scope of science. A ‘perfect experiment’ illustrates this point, highlighting the unbreachable boundaries of the scientific study of consciousness. We describe a more nuanced notion of cognitive access that captures personal experience without positing the existence of inaccessible conscious states. Finally, we discuss the criteria necessary for forming and testing a falsifiable theory of consciousness.
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  • Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):233-253.
    The target article sketched and explored a mechanism (action-oriented predictive processing) most plausibly associated with core forms of cortical processing. In assessing the attractions and pitfalls of the proposal we should keep that element distinct from larger, though interlocking, issues concerning the nature of adaptive organization in general.
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  • Seeing‐As in the Light of Vision Science.Ned Block - 2014 - Philosophy and Phenomenological Research 89 (1):560-572.
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  • Perceptual consciousness overflows cognitive access.Ned Block - 2011 - Trends in Cognitive Sciences 15 (12):567-575.
    One of the most important issues concerning the foundations ofconscious perception centerson thequestion of whether perceptual consciousness is rich or sparse. The overflow argument uses a form of ‘iconic memory’ toarguethatperceptual consciousnessisricher (i.e.,has a higher capacity) than cognitive access: when observing a complex scene we are conscious of more than we can report or think about. Recently, the overflow argumenthas been challenged both empirically and conceptually. This paper reviews the controversy, arguing that proponents of sparse perception are committed to the (...)
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  • Overflow, access, and attention.Ned Block - 2007 - Behavioral and Brain Sciences 30 (5-6):530-548.
    In this response to 32 commentators, I start by clarifying the overflow argument. I explain why the distinction between generic and specific phenomenology is important and why we are justified in acknowledging specific phenomenology in the overflow experiments. Other issues discussed are the relations among report, cognitive access, and attention; panpsychic disaster; the mesh between psychology and neuroscience; and whether consciousness exists.
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  • The mind as the software of the brain.Ned Block - 1995 - In Daniel N. Osherson, Lila Gleitman, Stephen M. Kosslyn, S. Smith & Saadya Sternberg (eds.), An Invitation to Cognitive Science, Second Edition, Volume 3. Cambridge MA: MIT Press. pp. 377-425.
    In this section, we will start with an influential attempt to define `intelligence', and then we will move to a consideration of how human intelligence is to be investigated on the machine model. The last part of the section will discuss the relation between the mental and the biological.
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  • The Emperor's New Phenomenology? The Empirical Case for Conscious Experience without First-Order Representations.Hakwan Lau & Richard Brown - 2019 - In Adam Pautz & Daniel Stoljar (eds.), Blockheads! Essays on Ned Block's Philosophy of Mind and Consciousness. MIT Press.
    We discuss cases where subjects seem to enjoy conscious experience when the relevant first-order perceptual representations are either missing or too weak to account for the experience. Though these cases are originally considered to be theoretical possibilities that may be problematical for the higher-order view of consciousness, careful considerations of actual empirical examples suggest that this strategy may backfire; these cases may cause more trouble for first-order theories instead. Specifically, these cases suggest that (I) recurrent feedback loops to V1 are (...)
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  • Primary visual cortex and visual awareness.Frank Tong - 2003 - Nature Reviews Neuroscience 4 (3):219-229.
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  • [Omnibus Review].Tyler Burge - 1981 - Journal of Symbolic Logic 46 (2):412-415.
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