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, |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Computational Intelligence Group Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Mark Wheadon |
| Date Deposited: | 24 Nov 2008 18:02 UTC |
| Last Modified: | 20 May 2025 10:04 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/14189 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0003-4736-1869
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