Suppressive effects in visual search: A neurocomputational analysis of preview search

被引:6
作者
Mavritsaki, Eirini [1 ]
Heinke, Dietmar
Humphreys, Glyn
Deco, Gustavo
机构
[1] Univ Birmingham, Sch Psychol, Behav Brain Res Sci Ctr, Birmingham B15 2T, W Midlands, England
[2] Univ Pompeu Fabra, ICREA, Dept Technol Computat Neurosci, Barcelona 08003, Spain
基金
英国工程与自然科学研究理事会;
关键词
visual search; visual marking; frequency adaptation; spiking neurons;
D O I
10.1016/j.neucom.2006.10.077
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising selection for new objects by top-down attentional inhibition of old objects. Psychol. Rev. 104 (1997) 90-1221 presented evidence that the prioritisation of new information in search tasks depends, at least in part, on the active ignoring of old items-a process they termed visual marking. In the present paper we present for the first time an explicit computational model of visual marking using a biologically plausible neural network. The model incorporates different synaptic components and a frequency adaptation mechanism, which acts to suppress the previously attended items. We show that, when coupled with a process of active inhibition to the old items, the pattern of preview search can be captured, as well as both efficient and inefficient search patterns in baseline conditions. The simulations point to the involvement of both active and passive inhibitory mechanisms in the preview effect in human search. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:1925 / 1931
页数:7
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