Attention is more than prediction precision

被引：14

作者：

Bowman, Howard ^{[1
,2
]}

Filetti, Marco ^{[1
,2
]}

Wyble, Brad ^{[3
]}

Olivers, Christian ^{[4
]}

机构：

[1] Univ Kent, Ctr Cognit Neurosci & Cognit Syst, Canterbury CT2 7NF, Kent, England

[2] Univ Kent, Sch Comp, Canterbury CT2 7NF, Kent, England

[3] Syracuse Univ, Dept Psychol, Syracuse, NY 13244 USA

[4] Vrije Univ Amsterdam, Fac Psychol & Educ, Dept Cognit Psychol, NL-1081 BT Amsterdam, Netherlands

来源：

BEHAVIORAL AND BRAIN SCIENCES | 2013年 / 36卷 / 03期

关键词：

D O I：

10.1017/S0140525X12002324

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

A cornerstone of the target article is that, in a predictive coding framework, attention can be modelled by weighting prediction error with a measure of precision. We argue that this is not a complete explanation, especially in the light of ERP (event-related potentials) data showing large evoked responses for frequently presented target stimuli, which thus are predicted.

引用

页码：206 / 208

页数：3

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