The impact of crossmodal predictions on the neural processing of aesthetic stimuli

交叉模态 心理学 认知心理学 脑磁图 情感(语言学) 感觉加工 模态(人机交互) 视觉感受 刺激形态 意识的神经相关物 幻觉 感觉系统 感知 脑电图 认知 神经科学 沟通 计算机科学 人机交互
作者
Marianne Tiihonen,Niels Trusbak Haumann,Yury Shtyrov,Peter Vuust,Thomas Jacobsen,Elvira Brattico
出处
期刊:Philosophical Transactions of the Royal Society B [Royal Society]
卷期号:379 (1895) 被引量:3
标识
DOI:10.1098/rstb.2022.0418
摘要

Neuroaesthetic research has focused on neural predictive processes involved in the encounter with art stimuli or the related evaluative judgements, and it has been mainly conducted unimodally. Here, with electroencephalography, magnetoencephalography and an affective priming protocol, we investigated whether and how the neural responses to non-representational aesthetic stimuli are top-down modulated by affective representational (i.e. semantically meaningful) predictions between audition and vision. Also, the neural chronometry of affect processing of these aesthetic stimuli was investigated. We hypothesized that the early affective components of crossmodal aesthetic responses are dependent on the affective and representational predictions formed in another sensory modality resulting in differentiated brain responses, and that audition and vision indicate different processing latencies for affect. The target stimuli were aesthetic visual patterns and musical chords, and they were preceded by a prime from the opposing sensory modality. We found that early auditory-cortex responses to chords were more affected by valence than the corresponding visual-cortex ones. Furthermore, the assessments of visual targets were more facilitated by affective congruency of crossmodal primes than the acoustic targets. These results indicate, first, that the brain uses early affective information for predictively guiding aesthetic responses; second, that an affective transfer of information takes place crossmodally, mainly from audition to vision, impacting the aesthetic assessment. This article is part of the theme issue 'Art, aesthetics and predictive processing: theoretical and empirical perspectives'.

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
啊琴黎完成签到 ,获得积分10
1秒前
因心发布了新的文献求助10
1秒前
烂漫的灵枫完成签到,获得积分10
2秒前
崔玉坤完成签到,获得积分10
2秒前
随机游走完成签到,获得积分10
2秒前
crz完成签到,获得积分10
3秒前
搬砖发布了新的文献求助10
3秒前
molihuakai应助听话的含芙采纳,获得10
4秒前
Owen应助xhy采纳,获得10
7秒前
7秒前
冷兮完成签到,获得积分10
9秒前
ding应助初七采纳,获得10
10秒前
yangmanjuan完成签到,获得积分10
10秒前
12秒前
赘婿应助小太阳采纳,获得10
12秒前
老猪佩奇应助高兴凝安采纳,获得10
13秒前
13秒前
所所应助务实胡萝卜采纳,获得10
13秒前
竹里酒发布了新的文献求助10
14秒前
nianxunxi完成签到,获得积分10
14秒前
14秒前
正直网络完成签到,获得积分10
16秒前
六六哈完成签到,获得积分10
17秒前
星辰大海应助淡定新烟采纳,获得10
17秒前
CC发布了新的文献求助10
17秒前
18秒前
万能图书馆应助帅666采纳,获得10
18秒前
18秒前
马老拐儿发布了新的文献求助10
19秒前
文逸完成签到,获得积分10
20秒前
20秒前
Lily发布了新的文献求助10
20秒前
小熊发布了新的文献求助10
20秒前
21秒前
CipherSage应助谦让的紫烟采纳,获得10
21秒前
隐形曼青应助小杭776采纳,获得10
22秒前
惊恐白米饭完成签到,获得积分10
22秒前
李爱国应助CC采纳,获得10
22秒前
22秒前
ming发布了新的文献求助10
23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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 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 6504971
求助须知:如何正确求助?哪些是违规求助? 8299177
关于积分的说明 17715796
捐赠科研通 5604917
什么是DOI,文献DOI怎么找? 2919990
邀请新用户注册赠送积分活动 1897403
关于科研通互助平台的介绍 1759439