School of Computing

Towards a Neural Network Model of the Attentional Blink

H. Bowman, B. Wyble, and P.J. Barnard

In H. Bowman and C. Labiouse, editors, Proceedings of the Eighth Neural Computation and Psychology Workshop, Connectionist Models of Cognition and Perception II, volume 15 of Progress in Neural Processing, pages 182-196, Singapore, April 2004. World Scientific.

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.

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Bibtex Record

@inproceedings{1874,
author = {H. Bowman and B. Wyble and P.J. Barnard},
title = {{Towards a Neural Network Model of the Attentional Blink}},
month = {April},
year = {2004},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2004/1874},
    publication_type = {inproceedings},
    submission_id = {18002_1082732610},
    ISBN = {981-238-805-2},
    booktitle = {Proceedings of the Eighth Neural Computation and Psychology Workshop, Connectionist Models of Cognition and Perception II},
    editor = {H. Bowman and C. Labiouse},
    volume = {15},
    series = {Progress in Neural Processing},
    address = {Singapore},
    publisher = {World Scientific},
    refereed = {yes},
}

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