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  1. Large-Scale Brain Simulation and Disorders of Consciousness. Mapping Technical and Conceptual Issues.Michele Farisco, Jeanette H. Kotaleski & Kathinka Evers - 2018 - Frontiers in Psychology 9.
    Modelling and simulations have gained a leading position in contemporary attempts to describe, explain, and quantitatively predict the human brain's operations. Computer models are highly sophisticated tools developed to achieve an integrated knowledge of the brain with the aim of overcoming the actual fragmentation resulting from different neuroscientific approaches. In this paper we investigate plausibility of simulation technologies for emulation of consciousness and the potential clinical impact of large-scale brain simulation on the assessment and care of disorders of consciousness, e.g. (...)
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  • Minds Online: The Interface between Web Science, Cognitive Science, and the Philosophy of Mind.Paul Smart, Robert William Clowes & Richard Heersmink - 2017 - Foundations and Trends in Web Science 6 (1-2):1-234.
    Alongside existing research into the social, political and economic impacts of the Web, there is a need to study the Web from a cognitive and epistemic perspective. This is particularly so as new and emerging technologies alter the nature of our interactive engagements with the Web, transforming the extent to which our thoughts and actions are shaped by the online environment. Situated and ecological approaches to cognition are relevant to understanding the cognitive significance of the Web because of the emphasis (...)
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  • Brain, consciousness and disorders of consciousness at the intersection of neuroscience and philosophy.Michele Farisco - 2019 - Dissertation, Uppsala University
    The present dissertation starts from the general claim that neuroscience is not neutral, with regard to theoretical questions like the nature of consciousness, but it needs to be complemented with dedicated conceptual analysis. Specifically, the argument for this thesis is that the combination of empirical and conceptual work is a necessary step for assessing the significant questions raised by the most recent study of the brain. Results emerging from neuroscience are conceptually very relevant in themselves but, notwithstanding its theoretical sophistication, (...)
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