A Neural Network Model of the Visual Short-Term Memory

Anders Petersen, Søren Kyllingsbæk, Lars Kai Hansen, Tobias Andersen

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    In this paper a neural network model of Visual Short-Term Memory (VSTM) is presented. The model links closely with Bundesen’s (1990) well-established mathematical theory of visual attention. We evaluate the model’s ability to fit experimental data from a classical whole and partial report study. Previous statistic models have successfully assessed the spatial distribution of visual attention; our neural network meets this standard and offers a neural interpretation of how objects are consolidated in VSTM at the same time. We hope that in the future, the model will be able to fit temporally dependent phenomena like the attentional blink effect, lag-1 sparing, and attentional dwell-time.
    Original languageEnglish
    Title of host publicationInternational Conference on Cognitive Modeling
    Publication date2009
    Publication statusPublished - 2009
    Event9th International Conference on Cognitive Modeling - Manchester, United Kingdom
    Duration: 24 Jul 200926 Jul 2009
    Conference number: 9


    Conference9th International Conference on Cognitive Modeling
    Country/TerritoryUnited Kingdom


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