Serial visual search from a parallel model

被引：10

作者：

Herd, SA ^{[1
]}

O'Reilly, RC ^{[1
]}

机构：

[1] Univ Colorado, Dept Psychol, Boulder, CO 80309 USA

来源：

VISION RESEARCH | 2005年 / 45卷 / 24期

关键词：

neural network; attention; visual search; parallel;

D O I：

10.1016/j.visres.2005.07.017

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

We tested a parallel neural network model of visual search, and found that it located targets more quickly when allowed to take several fast guesses. We suggest that this serially iterated parallel search may be the mode used by the visual system, in accord with theories such as the Guided Search model. Furthermore, in our model the most efficient mode of processing varied with the type of search. If the nature of visual search varies with task demands, seemingly contradictory findings can be reconciled. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：2987 / 2992

页数：6

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