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从个人周边空间的多感官整合到身体自我意识:从统计规律到统计推断。

From multisensory integration in peripersonal space to bodily self-consciousness: from statistical regularities to statistical inference.

作者信息

Noel Jean-Paul, Blanke Olaf, Serino Andrea

机构信息

Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee.

Laboratory of Cognitive Neuroscience (LNCO), Center for Neuroprosthetics (CNP), Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland.

出版信息

Ann N Y Acad Sci. 2018 Jun 6. doi: 10.1111/nyas.13867.

Abstract

Integrating information across sensory systems is a critical step toward building a cohesive representation of the environment and one's body, and as illustrated by numerous illusions, scaffolds subjective experience of the world and self. In the last years, classic principles of multisensory integration elucidated in the subcortex have been translated into the language of statistical inference understood by the neocortical mantle. Most importantly, a mechanistic systems-level description of multisensory computations via probabilistic population coding and divisive normalization is actively being put forward. In parallel, by describing and understanding bodily illusions, researchers have suggested multisensory integration of bodily inputs within the peripersonal space as a key mechanism in bodily self-consciousness. Importantly, certain aspects of bodily self-consciousness, although still very much a minority, have been recently casted under the light of modern computational understandings of multisensory integration. In doing so, we argue, the field of bodily self-consciousness may borrow mechanistic descriptions regarding the neural implementation of inference computations outlined by the multisensory field. This computational approach, leveraged on the understanding of multisensory processes generally, promises to advance scientific comprehension regarding one of the most mysterious questions puzzling humankind, that is, how our brain creates the experience of a self in interaction with the environment.

摘要

整合跨感官系统的信息是构建对环境和自身身体的连贯表征的关键一步,正如众多错觉所表明的那样,它构建了对世界和自我的主观体验。在过去几年中,在皮层下阐明的多感官整合的经典原理已被转化为新皮层所理解的统计推断语言。最重要的是,一种通过概率群体编码和归一化除法对多感官计算进行的机械系统层面的描述正在被积极提出。与此同时,通过描述和理解身体错觉,研究人员提出在个人周边空间内对身体输入进行多感官整合是身体自我意识的关键机制。重要的是,身体自我意识的某些方面,尽管仍然只是少数情况,但最近已根据对多感官整合的现代计算理解而受到关注。我们认为,这样做时,身体自我意识领域可能会借鉴多感官领域概述的关于推理计算神经实现的机械描述。这种基于对多感官过程总体理解的计算方法,有望推进对困扰人类的最神秘问题之一的科学理解,即我们的大脑如何在与环境的互动中创造自我体验。

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