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Towards a Neural Network Model of the Attentional Blink

Bowman, Howard and Wyble, Brad and Barnard, Philip (2004) Towards a Neural Network Model of the Attentional Blink. In: Bowman, Howard and Labiouse, C., eds. Connectionist Models of Cognition and Perception II: Proceedings of the Eighth Neural Computation and Psychology Workshop. Progress in Neural Processing . World Scientific Publishing, Singapore, pp. 178-187. ISBN 981-238-805-2. (KAR id:14189)

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Abstract

One of the most prominent experimental paradigms for investigating the deployment of attention over time is the Attentional Blink (AB). Although there is now a great deal known about it, computational modeling of the AB remains only lightly explored. This paper responds to this limitation by proposing a prototype neural network model of the blink. A central aspect of which is a realization of the concept of consolidation into working memory, which is at the heart of the majority of current explanations of the blink.

Item Type: Book section
Uncontrolled keywords: Attentional Blink, Neural Networks
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:02 UTC
Last Modified: 16 Nov 2021 09:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14189 (The current URI for this page, for reference purposes)
Bowman, Howard: https://orcid.org/0000-0003-4736-1869
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