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Image and Mind

Harvard University Press (1980)

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  1. Perception, information, and computation.S. Ullman - 1980 - Behavioral and Brain Sciences 3 (3):408-415.
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  • Against direct perception.Shimon Ullman - 1980 - Behavioral and Brain Sciences 3 (3):333-81.
    Central to contemporary cognitive science is the notion that mental processes involve computations defined over internal representations. This view stands in sharp contrast to the to visual perception and cognition, whose most prominent proponent has been J.J. Gibson. In the direct theory, perception does not involve computations of any sort; it is the result of the direct pickup of available information. The publication of Gibson's recent book (Gibson 1979) offers an opportunity to examine his approach, and, more generally, to contrast (...)
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  • Some important constraints on complexity.Leonard Uhr - 1990 - Behavioral and Brain Sciences 13 (3):455-456.
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  • Blindsight, orgasm, and representational overlap.Michael Tye - 1995 - Behavioral and Brain Sciences 18 (2):268-269.
    It is argued that there is no fallacy in the reasoning in the example of the thirsty blindsight subject, on one reconstruction of that reasoning. Neither the case of orgasm nor the case of a visual versus an auditory experience as of something overheard shows that phenomenal content is not representational.
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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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  • Connectionist computing and neural machinery: Examining the test of “timing”.John K. Tsotsos - 1986 - Behavioral and Brain Sciences 9 (1):106-107.
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  • A little complexity analysis goes a long way.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):458-469.
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  • Search and the detection and integration of features.Anne Treisman - 1990 - Behavioral and Brain Sciences 13 (3):454-455.
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  • Creativity: Myths? Mechanisms.Michel Treisman - 1994 - Behavioral and Brain Sciences 17 (3):554-555.
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  • Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.
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  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
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  • Framing the ultimatum game: the contribution of simulation.Barbara Tomasino, Lorella Lotto, Michela Sarlo, Claudia Civai, Rino Rumiati & Raffaella I. Rumiati - 2013 - Frontiers in Human Neuroscience 7.
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  • Cultural determination of picture space: The acid test.E. Broydrick Thro - 1989 - Behavioral and Brain Sciences 12 (1):94-95.
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  • Look again: Phenomenology and mental imagery. [REVIEW]Evan Thompson - 2007 - Phenomenology and the Cognitive Sciences 6 (1-2):137-170.
    This paper (1) sketches a phenomenological analysis of visual mental imagery; (2) applies this analysis to the mental imagery debate in cognitive science; (3) briefly sketches a neurophenomenological approach to mental imagery; and (4) compares the results of this discussion with Dennett’s heterophenomenology.
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  • Are theories of imagery theories of imagination? An active perception approach to conscious mental content.Nigel J. T. Thomas - 1999 - Cognitive Science 23 (2):207-245.
    Can theories of mental imagery, conscious mental contents, developed within cognitive science throw light on the obscure (but culturally very significant) concept of imagination? Three extant views of mental imagery are considered: quasi‐pictorial, description, and perceptual activity theories. The first two face serious theoretical and empirical difficulties. The third is (for historically contingent reasons) little known, theoretically underdeveloped, and empirically untried, but has real explanatory potential. It rejects the “traditional” symbolic computational view of mental contents, but is compatible with recentsituated (...)
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  • What is the algorithmic level?M. M. Taylor & R. A. Pigeau - 1987 - Behavioral and Brain Sciences 10 (3):495-496.
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  • Image-based object recognition in man, monkey and machine.Michael J. Tarr & Heinrich H. Bülthoff - 1998 - Cognition 67 (1-2):1-20.
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  • CaMeRa: A computational model of multiple representations.Hermina J. M. Tabachneck-Schijf, Anthony M. Leonardo & Herbert A. Simon - 1997 - Cognitive Science 21 (3):305-350.
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  • What does the cortex do?Mriganka Sur - 1986 - Behavioral and Brain Sciences 9 (1):105-105.
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  • Is the tag necessary?Ron Sun & Emmanuel Schalit - 1989 - Behavioral and Brain Sciences 12 (3):415-415.
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  • The value of modeling visual attention.Gary W. Strong & Bruce A. Whitehead - 1989 - Behavioral and Brain Sciences 12 (3):419-433.
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  • Separability of reference frame distinctions from motor and visual images.Gary W. Strong - 1994 - Behavioral and Brain Sciences 17 (2):224-225.
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  • A solution to the tag-assignment problem for neural networks.Gary W. Strong & Bruce A. Whitehead - 1989 - Behavioral and Brain Sciences 12 (3):381-397.
    Purely parallel neural networks can model object recognition in brief displays – the same conditions under which illusory conjunctions have been demonstrated empirically. Correcting errors of illusory conjunction is the “tag-assignment” problem for a purely parallel processor: the problem of assigning a spatial tag to nonspatial features, feature combinations, and objects. This problem must be solved to model human object recognition over a longer time scale. Our model simulates both the parallel processes that may underlie illusory conjunctions and the serial (...)
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  • 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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  • What every speaker cognizes.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):39-40.
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  • Computation without representation.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):152-152.
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  • Applying Marr to memory.Keith Stenning - 1987 - Behavioral and Brain Sciences 10 (3):494-495.
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  • Interactive instructional systems and models of human problem solving.Edward P. Stabler - 1987 - Behavioral and Brain Sciences 10 (3):493-494.
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  • Golden events and statistics: What's wrong with Galison's image/logic distinction?Kent W. Staley - 1999 - Perspectives on Science 7 (2):196-230.
    : Peter Galison has recently claimed that twentieth-century microphysics has been pursued by two distinct experimental traditions--the image tradition and the logic tradition--that have only recently merged into a hybrid tradition. According to Galison, the two traditions employ fundamentally different forms of experimental argument, with the logic tradition using statistical arguments, while the image tradition strives for non-statistical demonstrations based on compelling ("golden") single events. I show that discoveries in both traditions have employed the same statistical form of argument, even (...)
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  • Representation and psychological reality.Elliott Sober - 1980 - Behavioral and Brain Sciences 3 (1):38-39.
    In this brief space I want to describe how Chomsky's analysis of "psychological reality" departs from what I think is a fairly standard construal of the idea. This familiar formulation arises from distinguishing between someone's following a rule and someone's acting in conformity with a rule. The former idea, but not the latter, involves the idea that the person has some mental representation of the rule that plays a certain causal role in determining behavior. Although there may be many grammatical (...)
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  • Requiem for the identity theory.J. R. Smythies - 1994 - Inquiry: An Interdisciplinary Journal of Philosophy 37 (3):311-29.
    This paper examines the impact that recent advances in clinical neurology, introspectionist psychology and neuroscience have upon the philosophical psycho?neural Identity Theory. Topics covered include (i) the nature and properties of phenomenal consciousness based on a study of the ?basic? visual field, i.e. that obtained in the complete dark, the Ganzfeld, and during recovery from occipital lobe injuries; (ii) the nature of the ?body?image? of neurology and its relation to the physical body; (iii) Descartes? error in choosing extension in space (...)
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  • On spatial symbols.William E. Smythe & Paul A. Kolers - 1979 - Behavioral and Brain Sciences 2 (4):568-569.
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  • Computation and symbolization.William E. Smythe - 1980 - Behavioral and Brain Sciences 3 (1):151-152.
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  • Whither cross-cultural perception?Daniel W. Smothergill - 1989 - Behavioral and Brain Sciences 12 (1):93-94.
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  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
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  • What kind of indirect process is visual perception?Aaron Sloman - 1980 - Behavioral and Brain Sciences 3 (3):401-404.
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  • The tripartite model of representation.Peter Slezak - 2002 - Philosophical Psychology 15 (3):239-270.
    Robert Cummins [(1996) Representations, targets and attitudes, Cambridge, MA: Bradford/MIT, p. 1] has characterized the vexed problem of mental representation as "the topic in the philosophy of mind for some time now." This remark is something of an understatement. The same topic was central to the famous controversy between Nicolas Malebranche and Antoine Arnauld in the 17th century and remained central to the entire philosophical tradition of "ideas" in the writings of Locke, Berkeley, Hume, Reid and Kant. However, the scholarly, (...)
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  • How do we satisfy our goals?Paul G. Skokowski - 1994 - Behavioral and Brain Sciences 17 (2):224-224.
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  • Explaining behavior: Bringing the brain back in.Christine A. Skarda - 1986 - Inquiry: An Interdisciplinary Journal of Philosophy 29 (1-4):187-202.
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  • Explaining behavior: Bringing the brain back in.S. Skarda - 1986 - Inquiry: An Interdisciplinary Journal of Philosophy 29 (June):187-201.
    What is needed today is a biologically grounded explanation of behavior, one that moves beyond the so?called mind?body problem. Yet no solution will be found by philosophers who refuse to learn about how brains and bodies work, or by neuroscientists pursuing experimental research based on outmoded or blatantly anti?biological theories. Churchland's book proposes a solution: to come by a unified theory of the mind?brain philosophers have to work together with neuroscientists. Yet Churchland's vision of a unified theory is based on (...)
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  • Canonical representations and constructive praxis: Some developmental and linguistic considerations.Chris Sinha - 1994 - Behavioral and Brain Sciences 17 (2):223-224.
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  • Individual differences, developmental changes, and social context.Dean Keith Simonton - 1994 - Behavioral and Brain Sciences 17 (3):552-553.
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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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  • What is an agent that it experiences P-consciousness? And what is P-consciousness that it moves an agent?Roger N. Shepard - 1995 - Behavioral and Brain Sciences 18 (2):267-268.
    If phenomenal consciousness is distinct from the computationally based access-consciousness that controls overt behavior, how can I tell which things (other than myself) enjoy phenomenal consciousness? And if phenomenal consciousness 'plays no role in controlling overt behavior, how do human bodies come to write target articles arguing for the existence of phenomenal consciousness?
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  • Metaphor versus reality in the understanding of imagery: the path from function to structure.Peter W. Sheehan - 1979 - Behavioral and Brain Sciences 2 (4):567-568.
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  • The nature of nature: Rethinking naturalistic theories of intentionality.Lawrence A. Shapiro - 1997 - Philosophical Psychology 10 (3):309-322.
    While there is controversy over which of several naturalistic theories of the mental is most plausible, there is consensus regarding the desideratum of a naturalistically respectable theory. A naturalistic theory of the mental, it is agreed, must explicate representation in nonintentional terms. I argue that this constraint does not get at the heart of what it is to be natural. On the one hand, it fails to provide us with a meaningful distinction between the natural and the unnatural. On the (...)
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  • The image-like and the language-like.Benny Shanon - 1979 - Behavioral and Brain Sciences 2 (4):566-567.
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  • Respecting the phenomenology of human creativity.Victor A. Shames & John F. Kihlstrom - 1994 - Behavioral and Brain Sciences 17 (3):551-552.
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  • Representations - senses and reasons.Benny Shanon - 1991 - Philosophical Psychology 4 (3):355-74.
    Abstract A survey of different senses of the term ?representation? is presented. The presentation is guided by the appraisal that this key term is employed in the cognitive literature in different senses and that the distinction between these is not always explicitly stated or appreciated. Furthermore, the different senses seem to be associated with different rationales for the postulation of representation. Given that there may be a lack of convergence between the various senses of the construct in question and the (...)
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  • Eden Benumbed: A Critique of Panqualityism and the Disclosure View of Consciousness.Itay Shani - 2022 - Philosophia 50 (1):233-256.
    In the marketplace of opinions concerning the metaphysics of mind and consciousness panqualityism (PQ) occupies an interesting position. It is a distinct variant of neutral monism, as well as of protophenomenalism, and as such it strives to carve out a conceptual niche midway between physicalism and mentalism. It is also a brand of Russellian monism, advocated by its supporters as a less costly and less extravagant alternative to panpsychism. Being clearly articulated and relatively well-developed it constitutes an intriguing view. Nonetheless, (...)
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