Shifting spatial attention-Numerical model of Posner experiment

被引：15

作者：

Wazny, Marcin ^{[1
]}

Wojcik, Grzegorz M. ^{[1
]}

机构：

[1] Marie Curie Sklodowska Univ, Inst Comp Sci, PL-20031 Lublin, Poland

来源：

NEUROCOMPUTING | 2014年 / 135卷

关键词：

Spatial attention model; Leaky integrate-and-fire neurons; Posner experiment; NEST; DYNAMICS;

D O I：

10.1016/j.neucom.2013.12.043

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A key challenge for neural modelling is to create models that allow to explain neural processes responsible for human behaviour. We propose computational spatial attention model that allows us to conduct computer experiments inspired by the Posner spatial attention task. The model consists of leaky integrate-and-fire neurons. The model dynamics was investigated and analysed. The obtained results showed that the proposed model is able to focus, keep and shift attention as well as to model lesions and dysfunctions. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：139 / 144

页数：6

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