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Manipulating space: modelling the role of transient dynamics in inattentional blindness
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.ORCID iD: 0000-0001-6883-2450
2009 (English)In: Connection science (Print), ISSN 0954-0091, E-ISSN 1360-0494, Vol. 21, no 4, 275-296 p.Article in journal (Refereed) Published
Abstract [en]

According to Noë´s enactive theory of perception, sensorimotor knowledge allows us to predict the sensory outcomes of our actions. This paper suggests that tuning input filters with such predictions may be the cause of sustained inattentional blindness. Most models of learning capture statistically salient regularities in and between data streams. Such analysis is, however, severely limited by both the problem of marginal regularity and the credit assignment problem. A neurocomputational reservoir system can be used to alleviate these problems without training by enhancing the separability of regularities in input streams. However, as the regularities made separable vary with the state of the reservoir, feedback in the form of predictions of future sensory input can both enchance expected discriminations and hinder unanticipated ones. This renders the model blind to features not made separable in the regions of state space the reservoir in manipulated towards. This is demonstrated in a computational model of sustained inattentional blindness, leading to predictions about human behaviour that have yet to be tested.

Place, publisher, year, edition, pages
Taylor & Francis, 2009. Vol. 21, no 4, 275-296 p.
Keyword [en]
sensorimotor learning, inattentional blindness, linear separation, transient dynamics, anticipation, enactive perception, reservoir systems
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3534DOI: 10.1080/09540090902924025ISI: 000274672200001Scopus ID: 2-s2.0-77951664843OAI: oai:DiVA.org:his-3534DiVA: diva2:284164
Available from: 2010-01-04 Created: 2010-01-04 Last updated: 2014-11-10Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • fi-FI
  • nn-NO
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  • Other locale
More languages
Output format
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