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        Chapter 9 The Brain-Based Argument for Unconscious Sensory Qualities

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        Author(s)
        Marvan, Tomas
        Language
        English
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        Abstract
        This chapter explores the notion of conscious and unconscious sensory qualities and challenges the traditional view that sensory qualities are exclusively conscious. Two arguments are offered for the existence of unconscious sensory qualities: the behavioural and the neural. The upshot of both arguments is that the similarities between conscious and unconscious sensory states are much greater than typically assumed in both the philosophy of mind and the cognitive neuroscience of consciousness. In fact, both arguments (and especially the latter one, which is explored at some length in the chapter) support the view that the mechanisms of sensory qualities are literally the same in conscious and unconscious perceptual conditions. This has important implications for general theories of consciousness and for research on neural correlates of consciousness.
        Book
        Conscious and Unconscious Mentality
        URI
        https://library.oapen.org/handle/20.500.12657/85151
        Keywords
        attention; higher-order theories of consciousness; inattentional blindness; masking; mental qualities; neurophenomenal structuralism; phenomenal content; unconscious mental states
        DOI
        10.4324/ 9781003409526- 12
        ISBN
        9781003409526, 9781032529790, 9781032529745
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        2024
        Imprint
        Routledge
        Pages
        18
        Public remark
        This Chapter was funded by EU grant No. CZ.02.2.69/0.0/0.0/18_054/0014626
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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