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预测编码作为视觉注意中偏向竞争的一种模型。

Predictive coding as a model of biased competition in visual attention.

作者信息

Spratling M W

机构信息

Division of Engineering, King's College, London, UK.

出版信息

Vision Res. 2008 Jun;48(12):1391-408. doi: 10.1016/j.visres.2008.03.009. Epub 2008 Apr 28.

Abstract

Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expected or predicted information. Such observations are inconsistent with the predictive coding theory of cortical function which proposes that feedback acts to suppress information predicted by higher-level cortical regions. Despite this discrepancy, this article demonstrates that the predictive coding model can be used to simulate a number of the effects of attention. This is achieved via a simple mathematical rearrangement of the predictive coding model, which allows it to be interpreted as a form of biased competition model. Nonlinear extensions to the model are proposed that enable it to explain a wider range of data.

摘要

注意力通过皮层反馈通路发挥作用,增强对编码预期或预测信息的细胞的反应。此类观察结果与皮层功能的预测编码理论不一致,该理论提出反馈作用是抑制由高级皮层区域预测的信息。尽管存在这种差异,但本文表明预测编码模型可用于模拟注意力的多种效应。这是通过对预测编码模型进行简单的数学重新排列来实现的,这使得它可以被解释为一种偏向竞争模型的形式。文中提出了该模型的非线性扩展,使其能够解释更广泛的数据。

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