Altieri Nicholas, Stevenson Ryan A, Wallace Mark T, Wenger Michael J
Department of Communication Sciences and Disorders, Idaho State University, 921 S. 8th Ave. Stop 8116, Pocatello, ID, 83209, USA,
Brain Topogr. 2015 May;28(3):479-93. doi: 10.1007/s10548-013-0333-7. Epub 2013 Nov 26.
The ability to effectively combine sensory inputs across modalities is vital for acquiring a unified percept of events. For example, watching a hammer hit a nail while simultaneously identifying the sound as originating from the event requires the ability to identify spatio-temporal congruencies and statistical regularities. In this study, we applied a reaction time and hazard function measure known as capacity (e.g., Townsend and AshbyCognitive Theory 200-239, 1978) to quantify the extent to which observers learn paired associations between simple auditory and visual patterns in a model theoretic manner. As expected, results showed that learning was associated with an increase in accuracy, but more significantly, an increase in capacity. The aim of this study was to associate capacity measures of multisensory learning, with neural based measures, namely mean global field power (GFP). We observed a co-variation between an increase in capacity, and a decrease in GFP amplitude as learning occurred. This suggests that capacity constitutes a reliable behavioral index of efficient energy expenditure in the neural domain.
跨模态有效整合感官输入的能力对于获得对事件的统一感知至关重要。例如,看着锤子敲击钉子的同时识别出声音源自该事件,需要具备识别时空一致性和统计规律的能力。在本研究中,我们应用了一种称为容量的反应时间和危险函数测量方法(例如,Townsend和Ashby,《认知理论》,200 - 239页,1978年),以模型理论的方式量化观察者学习简单听觉和视觉模式之间配对关联的程度。正如预期的那样,结果表明学习与准确性的提高相关,但更显著的是与容量的增加相关。本研究的目的是将多感官学习的容量测量与基于神经的测量方法,即平均全局场功率(GFP)联系起来。我们观察到随着学习的发生,容量增加与GFP振幅减小之间存在协变关系。这表明容量构成了神经领域有效能量消耗的可靠行为指标。