Selective attention in visual search: A neural network of phase oscillators

被引：2
|
作者：
Corchs, S [1 ]
Deco, G [1 ]
机构：
[1] Siemens AG, Corp Technol, D-81739 Munich, Germany
来源：
NEUROCOMPUTING | 2001年 / 38卷
关键词：
visual search; selective attention; neural models;
D O I：
10.1016/S0925-2312(01)00483-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We study the selective attention mechanism in the context of visual search and formulate a neurodynamical model consisting of different pools of interconnected phase oscillators. Each oscillator is described by an integrate-and-fire-type equation. Numerical calculations for the cases of feature and conjunction searches are presented. The neural system is build up with parallel process only. Independent competition mechanisms along each feature dimension are taken into account. Visual attention appears as an emergent property of the dynamic of the system resulting from the temporal synchronization of the pools which bind the features of the searched target. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1151 / 1160
页数：10
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