亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Learning a new class of multisensory associations: High-density electrophysiological mapping of the temporal course of audio-visual object processing.

多传感器集成 知觉 心理学 感觉系统 对象(语法) 视觉对象识别的认知神经科学 计算机科学 沟通 感知 神经科学 人工智能
作者
Tiziana Vercillo,Edward G. Freedman,Joshua B. Ewen,Sophie Molholm,John J. Foxe
标识
DOI:10.1101/2021.11.15.468657
摘要

ABSTRACT Multisensory objects that are frequently encountered in the natural environment lead to strong associations across a distributed sensory cortical network, with the end result experience of a unitary percept. Remarkably little is known, however, about the cortical processes sub-serving multisensory object formation and recognition. To advance our understanding in this important domain, the present study investigated the brain processes involved in learning and identification of novel visual-auditory objects. Specifically, we introduce and test a rudimentary three-stage model of multisensory object-formation and processing. Thirty adults were remotely trained for a week to recognize a novel class of multisensory objects (3D shapes paired to complex sounds), and high-density event related potentials (ERPs) were recorded to the corresponding unisensory (shapes or sounds only) and multisensory (shapes and sounds) stimuli, before and after intensive training. We identified three major stages of multisensory processing: 1) an early, multisensory, automatic effect (<100 ms) in occipital areas, related to the detection of simultaneous audiovisual signals and not related to multisensory learning 2) an intermediate object-processing stage (100-200 ms) in occipital and parietal areas, sensitive to the learned multisensory associations and 3) a late multisensory processing stage (>250 ms) that appears to be involved in both object recognition and possibly memory consolidation. Results from this study provide support for multiple stages of multisensory object learning and recognition that are subserved by an extended network of cortical areas.

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
39秒前
小蘑菇应助科研通管家采纳,获得10
56秒前
冷艳的晓凡完成签到,获得积分10
1分钟前
Able完成签到,获得积分10
1分钟前
TXZ06完成签到,获得积分10
1分钟前
Ava应助傲娇的觅翠采纳,获得10
2分钟前
2分钟前
双目识林完成签到 ,获得积分10
2分钟前
2分钟前
无与伦比完成签到 ,获得积分10
2分钟前
2分钟前
感动初蓝完成签到 ,获得积分10
3分钟前
4分钟前
海信与发布了新的文献求助10
4分钟前
SciGPT应助Cassie采纳,获得10
4分钟前
852应助海信与采纳,获得10
4分钟前
Cassie完成签到,获得积分10
4分钟前
4分钟前
Cassie发布了新的文献求助10
4分钟前
4分钟前
nav完成签到 ,获得积分10
5分钟前
研友_LkD29n完成签到 ,获得积分10
5分钟前
神勇马里奥完成签到 ,获得积分10
5分钟前
yf完成签到 ,获得积分10
6分钟前
CodeCraft应助傲娇的觅翠采纳,获得10
6分钟前
互助完成签到,获得积分0
6分钟前
6分钟前
6分钟前
6分钟前
量子星尘发布了新的文献求助10
6分钟前
bucai发布了新的文献求助10
6分钟前
科研通AI2S应助科研通管家采纳,获得10
6分钟前
7分钟前
Vicky发布了新的文献求助20
7分钟前
所所应助bucai采纳,获得10
7分钟前
7分钟前
7分钟前
7分钟前
隐形曼青应助英俊的觅海采纳,获得10
7分钟前
8分钟前
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
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Russian Politics Today: Stability and Fragility (2nd Edition) 500
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6080343
求助须知:如何正确求助?哪些是违规求助? 7911037
关于积分的说明 16361156
捐赠科研通 5216448
什么是DOI,文献DOI怎么找? 2789173
邀请新用户注册赠送积分活动 1772066
关于科研通互助平台的介绍 1648897