A pruning method for the recursive least squared algorithm.
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Algorithms↗
Biomedical subjects
Pierre van de Laar
Publications and source records attributed to Pierre van de Laar.
Task-Dependent Learning of Attention.
In this article, we propose a neural network model for selective covert visual attention. This model can learn to focus its attention on important features depending on the task to be fulfilled by gating the flow of information from the lower to the higher levels of the visual system. The model is kept as simple as possible, but it is still capable of reproducing attentional behavior observed in psychological experiments. Computer simulations demonstrate that (1) it can learn categories to reduce reaction time without a decrease in performance, (2) the model reveals a performance similar to that of humans in feature and conjunction search, and (3) its learning dynamics are comparable with those of humans. Copyright 1997 Elsevier Science Ltd.
Journal Article↗