Applying capacity analyses to psychophysical evaluation of multisensory interactions.

Applying capacity analyses to psychophysical evaluation of multisensory interactions.
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DOI:
10.1016/j.inffus.2009.04.004
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发表时间:
2010-01-01
期刊:
影响因子:
18.6
通讯作者:
Laurienti, Paul J.
Laurienti, Paul J.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Hugenschmidt, Christina E.;Hayasaka, Satoru;Peiffer, Ann M.;Laurienti, Paul J.

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确定来自不同感觉通道的信息何时、是否以及如何被组合是大脑多感觉处理研究的一个基本目标。这在心理物理数据中可能是一个特别的挑战,因为没有直接记录神经输出。在行为数据中描述多感觉交互作用的最常见方法是将对多感觉刺激的反应与种族模型进行比较,种族模型是一种并行的独立处理模型,由对构成多感觉刺激的两个单一刺激的反应概率构建。如果观察到的多感官反应时间比模型预测的更快,则可以推断来自两个通道的信息正在被组合而不是独立处理。最近,行为研究已出版的能力分析,其中两个条件之间的比较进行了综合风险函数的水平。能力分析似乎是评估多感觉功能的特别有吸引力的技术,因为它们描述了整个分布曲线上条件之间的关系,解释起来相对容易和直观。目前的文件提出了容量分析的行为数据集以前分析使用的种族模型。虽然能力分析的应用仍然是有限的,由于其新奇,人们希望这种探索的能力和种族模型分析将鼓励使用这种有前途的新技术,无论是在多感官研究和其他适用领域。
Determining when, if, and how information from separate sensory channels has been combined is a fundamental goal of research on multisensory processing in the brain. This can be a particular challenge in psychophysical data, as there is no direct recording of neural output. The most common way to characterize multisensory interactions in behavioral data is to compare responses to multisensory stimulation with the race model, a model of parallel, independent processing constructed from the probability of responses to the two unisensory stimuli which make up the multisensory stimulus. If observed multisensory reaction times are faster than those predicted by the model, it is inferred that information from the two channels is being combined rather than processed independently. Recently, behavioral research has been published employing capacity analyses where comparisons between two conditions are carried out at the level of the integrated hazard function. Capacity analyses seem to be particularly appealing technique for evaluating multisensory functioning, as they describe relationships between conditions across the entire distribution curve, are relatively easy and intuitive to interpret. The current paper presents capacity analysis of a behavioral data set previously analyzed using the race model. While applications of capacity analyses are still somewhat limited due to their novelty, it is hoped that this exploration of capacity and race model analyses will encourage the use of this promising new technique both in multisensory research and other applicable fields.
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