Computational Modelling of the Attentional Blink

Bowman, Howard and Wyble, Brad (2005) Computational Modelling of the Attentional Blink. In: Proceedings of the Neural Computation and Psychology Workshop. (Full text available)

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This paper describes a computational model of the Attentional Blink constructed using the dual-stage model proposed by [1] and also incorporating a token based account of working memory [2]. This model reproduces data from a number of blink paradigms and makes predictions that lag-1 sparing is temporal and not sequential in origin. A further prediction is that enhancing the distinctiveness of T2 can impair T1 performance and also provoke order inversions of T1 and T2. Experiments from our lab examined the validity of these predictions. Implications and results are discussed.

Item Type: Conference or workshop item (UNSPECIFIED)
Uncontrolled keywords: visual attention
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03 UTC
Last Modified: 18 Jun 2014 10:59 UTC
Resource URI: (The current URI for this page, for reference purposes)
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