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使用种族模型不等式量化行为多感官整合效应。

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects.

作者信息

Mahoney Jeannette R, Verghese Joe

机构信息

Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine;

Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine; Department of Medicine, Division of Geriatrics, Albert Einstein College of Medicine.

出版信息

J Vis Exp. 2019 May 10(147). doi: 10.3791/59575.

Abstract

Multisensory integration research investigates how the brain processes simultaneous sensory information. Research on animals (mainly cats and primates) and humans reveal that intact multisensory integration is crucial for functioning in the real world, including both cognitive and physical activities. Much of the research conducted over the past several decades documents multisensory integration effects using diverse psychophysical, electrophysiological, and neuroimaging techniques. While its presence has been reported, the methods used to determine the magnitude of multisensory integration effects varies and typically faces much criticism. In what follows, limitations of previous behavioral studies are outlined and a step-by-step tutorial for calculating the magnitude of multisensory integration effects using robust probability models is provided.

摘要

多感官整合研究探讨大脑如何处理同时出现的感官信息。对动物(主要是猫和灵长类动物)和人类的研究表明,完整的多感官整合对于在现实世界中的功能运作至关重要,包括认知和身体活动。过去几十年进行的许多研究使用各种心理物理学、电生理学和神经成像技术记录了多感官整合效应。虽然已经报道了其存在,但用于确定多感官整合效应大小的方法各不相同,并且通常面临诸多批评。接下来,将概述先前行为研究的局限性,并提供一个使用稳健概率模型计算多感官整合效应大小的分步教程。

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