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量化多感官整合的挑战:替代标准、模型及逆效性

Challenges in quantifying multisensory integration: alternative criteria, models, and inverse effectiveness.

作者信息

Stein Barry E, Stanford Terrence R, Ramachandran Ramnarayan, Perrault Thomas J, Rowland Benjamin A

机构信息

Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.

出版信息

Exp Brain Res. 2009 Sep;198(2-3):113-26. doi: 10.1007/s00221-009-1880-8. Epub 2009 Jun 24.

Abstract

Single-neuron studies provide a foundation for understanding many facets of multisensory integration. These studies have used a variety of criteria for identifying and quantifying multisensory integration. While a number of techniques have been used, an explicit discussion of the assumptions, criteria, and analytical methods traditionally used to define the principles of multisensory integration is lacking. This was not problematic when the field was small, but with rapid growth a number of alternative techniques and models have been introduced, each with its own criteria and sets of implicit assumptions to define and characterize what is thought to be the same phenomenon. The potential for misconception prompted this reexamination of traditional approaches in order to clarify their underlying assumptions and analytic techniques. The objective here is to review and discuss traditional quantitative methods advanced in the study of single-neuron physiology in order to appreciate the process of multisensory integration and its impact.

摘要

单神经元研究为理解多感官整合的诸多方面奠定了基础。这些研究采用了多种标准来识别和量化多感官整合。虽然已经使用了多种技术,但缺乏对传统上用于定义多感官整合原理的假设、标准和分析方法的明确讨论。在该领域规模较小时这并无问题,但随着其迅速发展,引入了许多替代技术和模型,每种技术和模型都有自己的标准以及一套隐含假设,用于定义和描述被认为是相同现象的事物。误解的可能性促使对传统方法进行重新审视,以阐明其潜在假设和分析技术。这里的目的是回顾和讨论单神经元生理学研究中采用的传统定量方法,以便理解多感官整合的过程及其影响。

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