Signed reward prediction errors drive declarative learning

被引:33
|
作者
De Loof, Esther [1 ]
Ergo, Kate [1 ]
Naert, Lien [1 ]
Janssens, Clio [1 ]
Talsma, Durk [1 ]
Van Opstal, Filip [2 ]
Verguts, Tom [1 ]
机构
[1] Univ Ghent, Dept Expt Psychol, Henri Dunantlaan 2, Ghent, Belgium
[2] Univ Amsterdam, Dept Psychol, Nieuwe Achtergracht 129-B, Amsterdam, Netherlands
来源
PLOS ONE | 2018年 / 13卷 / 01期
关键词
ANTERIOR CINGULATE CORTEX; MEMORY FORMATION; EPISODIC MEMORY; DOPAMINE; SIGNALS; MODULATION; ACTIVATION; RETRIEVAL; ATTENTION; FRAMEWORK;
D O I
10.1371/journal.pone.0189212
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Reward prediction errors (RPEs) are thought to drive learning. This has been established in procedural learning (e.g., classical and operant conditioning). However, empirical evidence on whether RPEs drive declarative learning-a quintessentially human form of learning-remains surprisingly absent. We therefore coupled RPEs to the acquisition of Dutch-Swahili word pairs in a declarative learning paradigm. Signed RPEs (SRPEs; "better-than-expected" signals) during declarative learning improved recognition in a follow-up test, with increasingly positive RPEs leading to better recognition. In addition, classic declarative memory mechanisms such as time-on-task failed to explain recognition performance. The beneficial effect of SRPEs on recognition was subsequently affirmed in a replication study with visual stimuli.
引用
收藏
页数:15
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