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
yetong发布了新的文献求助10
刚刚
www完成签到 ,获得积分10
刚刚
刚刚
RLV完成签到,获得积分10
刚刚
刚刚
英俊的铭应助一铺研究区采纳,获得10
刚刚
破烂收藏家完成签到,获得积分10
1秒前
1秒前
1秒前
2秒前
沉静胜完成签到,获得积分10
2秒前
bin完成签到,获得积分20
2秒前
Liu发布了新的文献求助10
2秒前
静静完成签到 ,获得积分10
2秒前
Owen应助sh采纳,获得10
2秒前
2秒前
布莱橙发布了新的文献求助10
3秒前
彭于晏应助周亮亮采纳,获得10
3秒前
标致的方盒完成签到,获得积分10
3秒前
3秒前
子车浩宇发布了新的文献求助10
3秒前
嘻嘻完成签到,获得积分0
3秒前
4秒前
baimiaomuzi发布了新的文献求助10
4秒前
fan完成签到,获得积分10
4秒前
LuoJiajun发布了新的文献求助10
5秒前
5秒前
枫叶发布了新的文献求助10
5秒前
5秒前
kai发布了新的文献求助10
5秒前
所所应助坦率耳机采纳,获得10
5秒前
律笺文完成签到,获得积分10
5秒前
ecoyao发布了新的文献求助10
6秒前
干净的早晨完成签到,获得积分10
6秒前
dingkuiyuan发布了新的文献求助30
6秒前
俊哥关注了科研通微信公众号
6秒前
可靠幼旋完成签到,获得积分10
7秒前
傲娇的寄容完成签到,获得积分10
7秒前
气温仍然完成签到,获得积分10
8秒前
MORE完成签到,获得积分10
8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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 6362726
求助须知:如何正确求助?哪些是违规求助? 8176524
关于积分的说明 17228460
捐赠科研通 5417467
什么是DOI,文献DOI怎么找? 2866766
邀请新用户注册赠送积分活动 1843961
关于科研通互助平台的介绍 1691648