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The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search

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Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint (WAPCV 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4840))

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Abstract

The visual information we receive in the real world is usually prioritized through time as well as space. Evidence presented by Watson and Humphreys [18] supports the view that new information in search tasks is prioritised by (amongst other processes) active ignoring of old items - a process they termed visual marking. In this work we present, an explicit computational model of visual marking using biologically plausible activation functions. The ”spiking search over time and space” model (sSoTS) incorporates different synaptic components (NMDA, AMPA, GABA) and a frequency adaptation mechanism based on [Ca2  + ] sensitive K +  current. This frequency adaptation current when coupled with a process of active inhibition applied to old items, leads to old items being de-prioritised (and new items prioritised) across time in search. Furthermore, sSoTS can simulate the temporal dynamics of preview search [13] and dual task experimental results [12] . The results indicate that the sSoTS model can provide a biologically plausible account of human search over time as well as space.

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Author information

Authors and Affiliations

  1. Behavioural Brain Sciences Centre, School of Psychology, University of Birmingham, Edgbaston, B15 2TT, UK

    Eirini Mavritsaki, Dietmar Heinke & Glyn Humphreys

  2. Institucio Catalana de Recerca i Estudis Avancats (ICREA), Universitat Pompeu Fabra, Dept. of Technology, Computational Neuroscience, Passeig de Circumval.lacio, 8 08003 Barcelona, Spain

    Gustavo Deco

Authors
  1. Eirini Mavritsaki
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  2. Dietmar Heinke
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  3. Glyn Humphreys
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  4. Gustavo Deco
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Editor information

Editors and Affiliations

  1. Joanneum Research, Forschungsgesellschaft mbH, Computational Perception Group,, Institute of Digital Image Processing, Wastiangasse 6, 8010, Graz, Austria

    Lucas Paletta

  2. Autonomous Intelligent Systems (AIS), Autonomous Robots Department, Fraunhofer Institute, Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Erich Rome

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© 2007 Springer-Verlag Berlin Heidelberg

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Mavritsaki, E., Heinke, D., Humphreys, G., Deco, G. (2007). The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search. In: Paletta, L., Rome, E. (eds) Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. WAPCV 2007. Lecture Notes in Computer Science(), vol 4840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77343-6_22

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  • DOI: https://doi.org/10.1007/978-3-540-77343-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77342-9

  • Online ISBN: 978-3-540-77343-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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