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Transient Attentional Enhancement during the Attentional Blink: ERP correlates of the ST2 model

Chennu, Srivas, Craston, Patrick, Wyble, Brad, Bowman, Howard (2008) Transient Attentional Enhancement during the Attentional Blink: ERP correlates of the ST2 model. In: French, Robert M. and Thomas, Elizabeth, eds. From Associations to Rules: Connectionist Models of Behavior and Cognitionn. Progress in Neural Processing , 17. World Scientific, World Scientific Publishing ISBN 978-981-279-731-5. (KAR id:23962)

Abstract

There has been considerable recent interest in the identification of neural correlates of the Attentional Blink (AB), and the development of neurally explicit computational models. A prominent example is the Simultaneous Type Serial Token (ST2) model, which suggests that when the visual system detects a task-relevant item, a spatially specific Transient Attentional Enhancement (TAE), called the blaster, is triggered. This paper reports on our investigations into EEG activity during the AB, and a hypothesized correlation between the blaster and the N2pc ERP component. Specifically, we demonstrate that the temporal firing pattern of the blaster in the model matches the N2pc component in human ERP recordings, for targets that are seen and missed inside and outside the attentional blink window. Such a correlation between a computational account of the AB and ERP data provides useful insights into the processes underlying selectivity in temporal attention.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Attentional Blink, Temporal Attention, Computational Modeling, ERP
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: Srivas Chennu
Date Deposited: 29 Mar 2010 12:09 UTC
Last Modified: 16 Nov 2021 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/23962 (The current URI for this page, for reference purposes)

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