Towards a neural network model of the attentional blink

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.