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A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies

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Book cover Anticipatory Behavior in Adaptive Learning Systems (ABiALS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5499))

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Abstract

Anticipation and prediction have been identified as key functions of many brain areas facilitating recognition, perception, and planning. In this chapter we present a hierarchical neurocomputational model in which feedback, effectively predicting or anticipating task-relevant features, leads to sustained inattentional blindness. A psychological experiment on sustained inattentional blindness in human subjects is simulated to provide visual input to a hierarchy of Echo State Networks. Other parts of the model receive input relevant to tracking the attended object and also detecting the unexpected object, feedback from which is then used to simulate engagement in the task and compared to results obtained without feedback, simulating passive observation. We find a significant effect of anticipation enhancing performance at the task and simultaneously degrading detection of unexpected features, thereby modelling the sustained inattentional blindness effect. We therefore suggest that anticipatory / predictive mechanisms are responsible for sustained inattentional blindness.

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Authors and Affiliations

  1. COIN Lab, Informatics Research Centre, University of Skövde, SE-541 28, Skövde, Sweden

    Anthony F. Morse, Robert Lowe & Tom Ziemke

Authors
  1. Anthony F. Morse
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  2. Robert Lowe
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  3. Tom Ziemke
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Editor information

Editors and Affiliations

  1. Consiglio Nazionale delle Ricerche,Istituto di Linguistica Computazionale “Antonio Zampolli”, Via Giuseppe Moruzzi, 1 - 56124 Pisa, Italy and Consiglio Nazionale delle Ricerche,Istituto di Scienze e Tecnologie della Cognizione, Via San Martino della Ba, Italy

    Giovanni Pezzulo

  2. COBOSLAB – Cognitive Bodyspaces: Learning and Behavior, Department of Psychology III, University of Würzburg, Röntgenring 11, 97070, Würzburg, Germany

    Martin V. Butz

  3. Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222), Université Pierre et Marie Curie, Pyramide Tour 55, 4 Place Jussieu, 75252, Paris Cedex 05, France

    Olivier Sigaud

  4. Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie della Cognizione, Laboratory of Computational Embodied Neuroscience, Via San Martino della Battaglia 44, 00185, Roma, Italy

    Gianluca Baldassarre

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Morse, A.F., Lowe, R., Ziemke, T. (2009). A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies. In: Pezzulo, G., Butz, M.V., Sigaud, O., Baldassarre, G. (eds) Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2008. Lecture Notes in Computer Science(), vol 5499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02565-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-02565-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02564-8

  • Online ISBN: 978-3-642-02565-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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