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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
白三发布了新的文献求助20
2秒前
英勇的梨愁完成签到 ,获得积分10
5秒前
Alberta完成签到,获得积分10
6秒前
白三完成签到,获得积分10
11秒前
123完成签到 ,获得积分10
12秒前
HTniconico完成签到 ,获得积分10
20秒前
开朗白山完成签到,获得积分10
23秒前
27秒前
jingluo发布了新的文献求助10
32秒前
量子星尘发布了新的文献求助10
34秒前
彭于晏应助hhh采纳,获得10
38秒前
我主沉浮完成签到,获得积分10
38秒前
39秒前
嘻嘻哈哈应助abc采纳,获得10
40秒前
42秒前
八两发布了新的文献求助10
46秒前
46秒前
46秒前
47秒前
47秒前
48秒前
48秒前
49秒前
49秒前
49秒前
117完成签到,获得积分10
51秒前
hhh发布了新的文献求助10
51秒前
hhh发布了新的文献求助10
52秒前
hhh发布了新的文献求助10
52秒前
hhh发布了新的文献求助10
52秒前
可爱玫瑰发布了新的文献求助10
54秒前
浮游应助inin采纳,获得10
55秒前
1分钟前
西柚柠檬完成签到 ,获得积分10
1分钟前
梓镱儿完成签到,获得积分10
1分钟前
Aulorra完成签到,获得积分20
1分钟前
1分钟前
久久丫完成签到 ,获得积分10
1分钟前
1分钟前
科目三应助zy采纳,获得10
1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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 901
Item Response Theory 800
Identifying dimensions of interest to support learning in disengaged students: the MINE project 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5426294
求助须知:如何正确求助?哪些是违规求助? 4540112
关于积分的说明 14171636
捐赠科研通 4457871
什么是DOI,文献DOI怎么找? 2444698
邀请新用户注册赠送积分活动 1435666
关于科研通互助平台的介绍 1413164