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Seeing is Believing: Depictive Neuromodelling of Visual Awareness

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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2084))

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Abstract

The object of seeing is for the brain to create inner states that accurately model the world and recall it for purposeful use. In this descriptive paper we present virtual neuro-architectures called ‘depictive’ which have been developed to create hypotheses for the mechanisms necessary for such depiction and explain some elements of verbally induced visual working memory. Early work on applications to understanding visual deficits in Parkinsons’ sufferers is included.

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References

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Author information

Authors and Affiliations

  1. Intelligent and Interactive Systems Group, Department of Electrical and Electronic Engineering, Imperial College of Science, Technology and Medicine, London, SW7, 2AZ

    Igor Aleksander, Helen Morton & Barry Dunmall

Authors
  1. Igor Aleksander
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  2. Helen Morton
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  3. Barry Dunmall
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial Sanda del Rey, Universidad Nacional de Educación a Distancia, s/n., Madrid, 28040, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Aleksander, I., Morton, H., Dunmall, B. (2001). Seeing is Believing: Depictive Neuromodelling of Visual Awareness. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_92

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  • DOI: https://doi.org/10.1007/3-540-45720-8_92

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42235-8

  • Online ISBN: 978-3-540-45720-6

  • eBook Packages: Springer Book Archive

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