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International Conference on Artificial Neural Networks

ICANN 2010: Artificial Neural Networks – ICANN 2010 pp 496–503Cite as

Consciousness versus Attention

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6354))

Abstract

We consider paradigms attempting to prove that attention and consciousness are independent. As part of the analysis we introduce the notion of the ‘Creativity Effect’, and indicate how it may be used in certain experiments to explain how apparently attention-free awareness arises through a process in which attention plays a crucial role.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, King’s College London, Strand London, WC2R2LS, UK

    John G. Taylor

Authors
  1. John G. Taylor
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Editor information

Editors and Affiliations

  1. Department of Informatics, TEI of Thessaloniki, 57400, Sindos, Greece

    Konstantinos Diamantaras

  2. Department of Informatics, Nicolaus Copernicus University, School of Physics, Astronomy, and Informatics, ul. Grudziadzka 5, 87-100, Torun, Poland

    Wlodek Duch

  3. Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Pantazidou 193, 68200, Orestiada Thrace, Greece

    Lazaros S. Iliadis

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Taylor, J.G. (2010). Consciousness versus Attention. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15825-4_68

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  • DOI: https://doi.org/10.1007/978-3-642-15825-4_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15824-7

  • Online ISBN: 978-3-642-15825-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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