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- Axel Cleeremans (2006). Computational Correlates of Consciousness. In Steven Laureys (ed.), The Boundaries of Consciousness: Neurobiology and Neuropathology: Progress in Brain Research. Elsevier.Over the past few years numerous proposals have appeared that attempt to characterize consciousness in terms of what could be called its computational correlates: Principles of information processing with which to characterize the differences between conscious and unconscious processing. Proposed computational correlates include architectural specialization (such as the involvement of specific regions of the brain in conscious processing), properties of representations (such as their stability in time or their strength), and properties of specific processes (such as resonance, synchrony, interactivity, or information integration). In exactly the same way as one can engage in a search for the neural correlates of consciousness, one can thus search for the computational correlates of consciousness. The most direct way of doing is to contrast models of conscious versus unconscious information processing. In this paper, I review these developments and illustrate how computational modeling of specific cognitive processes can be useful in exploring and in formulating putative computational principles through which to capture the differences between conscious and unconscious cognition. What can be gained from such approaches to the problem of consciousness is an understanding of the function it plays in information processing and of the mechanisms that subtend it. Here, I suggest that the central function of consciousness is to make it possible for cognitive agents to exert ?exible, adaptive control over behavior. From this perspective, consciousness is best characterized as involving (1) a graded continuum de?ned over quality of representation, such that availability to consciousness and to cognitive control correlates with properties of representation, and (2) the implication of systems of meta-representations.Reading list | Discuss | Edit | Categorize |My bibliography
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| | Scholar | At my library | More options ... When it comes to applying computational theory to the problem of phenomenal consciousness, cognitive scientists appear to face a dilemma. The only strategy that seems to be available is one that explains consciousness in terms of special kinds of computational processes. But such theories, while they dominate the field, have counter-intuitive consequences; in particular, they force one to accept that phenomenal experience is composed of information processing effects. For cognitive scientists, therefore, it seems to come down to a choice between a counter-intuitive theory or no theory at all. We offer a way out of this dilemma. We argue that the computational theory of mind doesn't force cognitive scientists to explain consciousness in terms of computational processes, as there is an alternative strategy available: one that focuses on the representational vehicles that encode information in the brain. This alternative approach to consciousness allows us to do justice to the standard intuitions about phenomenal experience, yet remain within the confines of cognitive science.
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| Discuss | Edit | Categorize | My bibliography | Export citation | Other links: cogprints.org hdl.handle.net link.library.adelaide.edu.au informaworld.com tandfonline.com dx.doi.org | Scholar | At my library | More options ...
| | Other links: cogprints.org hdl.handle.net link.library.adelaide.edu.au informaworld.com tandfonline.com dx.doi.org | Scholar | At my library | More options ... The naturalistic voluntary control (VC) theory explains free will and consciousness in terms of each other. It is central to free voluntary control of action that one can control both what one is conscious of, and also what one is not conscious of. Furthermore, the specific cognitive ability or skill involved in voluntarily controlling whether information is processed consciously or unconsciously can itself be used to explain consciousness. In functional terms, it is whatever kind of cognitive processing occurs when a conscious state is voluntarily chosen. This leads to a bivalent view of cognitive processing in which there is voluntary choice either of non-routine (conscious) or routine (unconscious) kinds of processing. On this VC account, consciousness could not exist without its being possible to voluntarily choose a non-routine kind of processing.
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| | Other links: pep-web.org klab.caltech.edu | Scholar | At my library | More options ... Information processing theories in psychology give rise to executive theories of consciousness. Roughly speaking, these theories maintain that consciousness is a centralized processor that we use when processing novel or complex stimuli. The computational assumptions driving the executive theories are closely tied to the computer metaphor. However, those who take the metaphor serious — as I believe psychologists who advocate the executive theories do — end up accepting too particular a notion of a computing device. In this essay, I examine the arguments from theoretical computational considerations that cognitive psychologists use to support their general approach in order to show that they make unwarranted assumptions about the processing attributes of consciousness. I then go on to examine the assumptions behind executive theories which grow out of the computer metaphor of cognitive psychology and conclude that we may not be the sort of computational machine cognitive psychology assumes and that cognitive psychology''s approach in itself does not buy us anything in developing theories of consciousness. Hence, the state space in which we may locate consciousness is vast, even within an information processing framework.
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| | Other links: springerlink.com | Scholar | At my library | More options ... Characterizing the relationships between conscious and unconscious processes is one of the most important and long-standing goals of cognitive psychology. Renewed interest in the nature of consciousness — long considered not to be scientifically explorable —, as well as the increasingly widespread availability of functional brain imaging techniques, now offer the possibility of detailed exploration of the neural, behavioral, and computational correlates of conscious and unconscious cognition. This entry reviews some of the relevant experimental work, highlights the methodological challenges involved in establishing the extent to which cognition can occur unconsciously, and situates ongoing debates in the theoretical context provided by current thinking about consciousness.
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| | Other links: srsc.ulb.ac.be | Scholar | At my library | More options ... It appears that consciousness science is progressing soundly, in particular in its search for the neural correlates of consciousness. There are two main approaches to this search, one is content-based (focusing on the contrast between conscious perception of, e.g., faces vs. houses), the other is state-based (focusing on overall conscious states, e.g., the contrast between dreamless sleep vs. the awake state). Methodological and conceptual considerations of a number of concrete studies show that both approaches are problematic: the content-based approach seems to set aside crucial aspects of consciousness; and the state-based approach seems over-inclusive in a way that is hard to rectify without losing sight of the crucial conscious-unconscious contrast. Consequently, the search for the neural correlates of consciousness is in need of new experimental paradigms.
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| Discuss | Edit | Categorize | My bibliography | Export citation | Other links: linkinghub.elsevier.com arts.monash.edu.au dx.doi.org | Scholar | At my library | More options ...
| | Other links: linkinghub.elsevier.com arts.monash.edu.au dx.doi.org | Scholar | At my library | More options ... The search for neural correlates of consciousness (or NCCs) is arguably the cornerstone in the recent resurgence of the science of consciousness. The search poses many difficult empirical problems, but it seems to be tractable in principle, and some ingenious studies in recent years have led to considerable progress. A number of proposals have been put forward concerning the nature and location of neural correlates of consciousness. A few of these include.
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| | Other links: consc.net u.arizona.edu cs.colorado.edu | Scholar | At my library | More options ... What makes us conscious? Many theories that attempt to answer this question have appeared recently in the context of widespread interest about consciousness in the cognitive neurosciences. Most of these proposals are formulated in terms of the information processing conducted by the brain. In this overview, we survey and contrast these models. We first delineate several notions of consciousness, addressing what it is that the various models are attempting to explain. Next, we describe a conceptual landscape that addresses how the theories attempt to explain consciousness. We then situate each of several representative models in this landscape and indicate which aspect of consciousness they try to explain. We conclude that the search for the neural correlates of consciousness should be usefully complemented by a search for the computational correlates of consciousness.
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| Discuss | Edit | Categorize | My bibliography | Export citation | Other links: srsc.ulb.ac.be dur.ac.uk srsc-mac1.ulb.ac.be psyc.bbk.ac.uk cs.colorado.edu ncbi.nlm.nih.gov ingentaconnect.com | Scholar | At my library | More options ...
| | Other links: srsc.ulb.ac.be dur.ac.uk srsc-mac1.ulb.ac.be psyc.bbk.ac.uk cs.colorado.edu ncbi.nlm.nih.gov ingentaconnect.com | Scholar | At my library | More options ... In this chapter, I sketch a conceptual framework which takes it as a starting point that conscious and unconscious cognition are rooted in the same set of interacting learning mechanisms and representational systems. On this view, the extent to which a representation is conscious depends in a graded manner on properties such as its stability in time or its strength. Crucially, these properties are accrued as a result of learning, which is in turn viewed as a mandatory process that always accompanies information processing. From this perspective, consciousness is best characterized as involving (1) a graded continuum defined over “quality of representation”, such that availability to consciousness and to cognitive control correlates with quality , and (2) the implication of systems of metarepresentations. A first implication of these ideas is that the main function of consciousness is to make flexible, adaptive control over behavior possible. A second, much more speculative implication, is that we learn to be conscious. This I call the “radical plasticity thesis” — the hypothesis that consciousness emerges in systems capable not only of learning about their environment, but also about their own internal representations of it.
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| | Scholar | At my library | More options ... Discussion of Axel Cleeremans, Computational Correlates of Consciousness
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