The impact of multimodal-multisensory learning on human performance and brain activation patterns

K. James, S. Vinci-Booher, Felipe Munoz-Rubke
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引用次数: 12

Abstract

The human brain is inherently a multimodal-multisensory dynamic learning system. All information that is processed by the brain must first be encoded through sensory systems and this sensory input can only be attained through motor movement. Although each sensory modality processes different signals from the environment in qualitatively different ways (e.g., sound waves, light waves, pressure, etc.), these signals are transduced into a common language in the brain. The signals are then associated and combined to produce our phenomenology of a coherent world. Therefore, the brain processes a seemingly unlimited amount of multisensory information for the purpose of interacting with the world. This interaction with the world, through the body, is multimodal. The body allows one to affect the environment through multiple motor movements (hand movements, locomotion, speech, gestures, etc.). These various actions, in turn, shape the multisensory input that the brain will subsequently receive. The feedforward-feedback loop that occurs every millisecond among sensory and motor systems is a reflection of these multisensory and multimodal interactions among the brain, body, and environment. As an aid to comprehension, readers are referred to this chapter's Focus Questions and to the Glossary for a definition of terminology. In the following, we begin by delving deeper into how sensory signals are transduced in the brain and how multimodal activity shapes signal processing. We then provide samples of research that have demonstrated that multimodal interactions with the world, through action, facilitate learning. An overview of research on performance measured by overt behavioral responses in adult and developing populations is followed by examples of research on the effects that multimodal learning has on brain plasticity in adults and children. Together, the behavioral and neuroimaging literature underscore the importance of learning through multimodalmultisensory interactions throughout human development.
多模态-多感官学习对人类表现和大脑激活模式的影响
人脑天生就是一个多模态、多感官的动态学习系统。大脑处理的所有信息都必须首先通过感觉系统进行编码,而这种感觉输入只能通过运动来获得。虽然每一种感觉模态以不同的方式处理来自环境的不同信号(如声波、光波、压力等),但这些信号在大脑中被转导成一种共同的语言。然后,这些信号被联系起来,组合在一起,产生了一个连贯世界的现象学。因此,为了与世界互动,大脑处理了看似无穷无尽的多感官信息。这种通过身体与世界的互动是多模式的。身体允许一个人通过多种运动(手部运动、运动、说话、手势等)来影响环境。这些不同的动作依次形成大脑随后接收的多感官输入。在感觉和运动系统中每毫秒发生的前馈-反馈循环反映了大脑、身体和环境之间的多感觉和多模式相互作用。为了帮助读者理解,请参考本章的焦点问题和术语表中的术语定义。在下面,我们开始深入研究感官信号是如何在大脑中转导的,以及多模态活动如何塑造信号处理。然后,我们提供了一些研究样本,证明了通过行动与世界的多模式互动促进了学习。本文概述了在成人和发展中人群中通过显性行为反应来衡量表现的研究,并举例说明了多模式学习对成人和儿童大脑可塑性的影响。行为学和神经影像学文献共同强调了在整个人类发展过程中通过多模态、多感官相互作用进行学习的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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