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Prediction-based attenuation as a general property of learning in neural circuits.
Journal of Experimental Psychology: Animal Learning and Cognition ( IF 1.2 ) Pub Date : 2021-01-01 , DOI: 10.1037/xan0000280
Dominic M D Tran 1 , Evan J Livesey 1
Affiliation  

One of the mechanisms proposed to underpin perceptual learning is the reduction in salience of predicted stimuli. This reduction is held to affect the representation of (conditioned) stimuli before they have been associated with motivationally meaningful consequences but may also affect (unconditioned) stimuli that automatically elicit responding. The purpose of this article is to review past findings and present new evidence of phenomena across a range of domains that are consistent with the idea that responses automatically triggered by stimulating events will be reduced by prediction. We argue that prediction-based attenuation may serve several adaptive functions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

中文翻译:

基于预测的衰减作为神经回路学习的一般属性。

支持感知学习的机制之一是降低预测刺激的显着性。这种减少被认为是在(条件性)刺激与具有动机意义的后果相关联之前影响它们的表现,但也可能影响自动引发反应的(非条件性)刺激。本文的目的是回顾过去的发现,并提供一系列领域中现象的新证据,这些证据与由刺激事件自动触发的反应将通过预测减少的想法相一致。我们认为基于预测的衰减可以服务于几个自适应功能。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。
更新日期:2021-01-01
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