Learning biases to angry and happy faces during Pavlovian aversive conditioning.

心理学 经典条件反射 消光(光学矿物学) 厌恶性刺激 条件作用 钢筋 认知心理学 刺激(心理学) 恐惧条件反射 发展心理学 社会心理学 神经科学 扁桃形结构 生物 数学 统计 古生物学
作者
Yoann Stussi,Gilles Pourtois,Andreas Olsson,David Sander
出处
期刊:Emotion [American Psychological Association]
卷期号:21 (4): 742-756 被引量:15
标识
DOI:10.1037/emo0000733
摘要

Learning biases in Pavlovian aversive conditioning have been found in response to specific categories of threat-relevant stimuli, such as snakes or angry faces. This has been suggested to reflect a selective predisposition to preferentially learn to associate stimuli that provided threats to survival across evolution with aversive outcomes. Here, we contrast with this perspective by highlighting that both threatening (angry faces) and rewarding (happy faces) social stimuli can produce learning biases during Pavlovian aversive conditioning. Using a differential aversive conditioning paradigm, the present study (N = 107) showed that the conditioned response to angry and happy faces was more readily acquired and more resistant to extinction than the conditioned response to neutral faces. Strikingly, whereas the effects for angry faces were of moderate size, the conditioned response persistence to happy faces was of relatively small size and influenced by interindividual differences in their affective evaluation, as indexed by a Go/No-Go Association Task. Computational reinforcement learning analyses further suggested that angry faces were associated with a lower inhibitory learning rate than happy faces, thereby inducing a greater decrease in the impact of negative prediction error signals that contributed to weakening extinction learning. Altogether, these findings provide further evidence that the occurrence of learning biases in Pavlovian aversive conditioning is not specific to threat-related stimuli and depends on the stimulus' affective relevance to the organism. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
大虫子完成签到,获得积分10
刚刚
2秒前
2秒前
wanci应助忧伤的小天鹅采纳,获得10
2秒前
科研菜鸟发布了新的文献求助10
2秒前
2秒前
冯小路发布了新的文献求助10
3秒前
FashionBoy应助jayna采纳,获得10
4秒前
研友_VZG7GZ应助King强采纳,获得10
4秒前
4秒前
4秒前
5秒前
5秒前
XXXX发布了新的文献求助10
5秒前
6秒前
Aniya完成签到,获得积分10
6秒前
眯眯眼的鸽子完成签到,获得积分20
6秒前
orixero应助静静采纳,获得10
7秒前
LiuHao发布了新的文献求助10
7秒前
小高完成签到,获得积分20
7秒前
Amanda完成签到,获得积分10
7秒前
yao完成签到,获得积分10
8秒前
8秒前
辛勤从霜发布了新的文献求助20
10秒前
10秒前
10秒前
10秒前
活力白竹发布了新的文献求助10
10秒前
无奈柚子发布了新的文献求助10
11秒前
11秒前
11秒前
健壮的傥发布了新的文献求助10
11秒前
12秒前
12秒前
13秒前
13秒前
ww完成签到,获得积分10
13秒前
最最最发布了新的文献求助10
13秒前
SS发布了新的文献求助10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6432994
求助须知:如何正确求助?哪些是违规求助? 8248524
关于积分的说明 17543255
捐赠科研通 5490370
什么是DOI,文献DOI怎么找? 2896812
邀请新用户注册赠送积分活动 1873417
关于科研通互助平台的介绍 1713682