Smith J David, Johnston Jennifer J R, Musgrave Robert D, Zakrzewski Alexandria C, Boomer Joseph, Church Barbara A, Ashby F Gregory
Department of Psychology, University of Buffalo, The State University of New York, 346 Park Hall, Buffalo, NY, 14260, USA,
Atten Percept Psychophys. 2014 Jul;76(5):1473-84. doi: 10.3758/s13414-014-0659-6.
An influential theoretical perspective describes an implicit category-learning system that associates regions of perceptual space with response outputs by integrating information preattentionally and predecisionally across multiple stimulus dimensions. In this study, we tested whether this kind of implicit, information-integration category learning is possible across stimulus dimensions lying in different sensory modalities. Humans learned categories composed of conjoint visual-auditory category exemplars comprising a visual component (rectangles varying in the density of contained lit pixels) and an auditory component (in Exp. 1, auditory sequences varying in duration; in Exp. 2, pure tones varying in pitch). The categories had either a one-dimensional, rule-based solution or a two-dimensional, information-integration solution. Humans could solve the information-integration category tasks by integrating information across two stimulus modalities. The results demonstrated an important cross-modal form of sensory integration in the service of category learning, and they advance the field's knowledge about the sensory organization of systems for categorization.
一种有影响力的理论观点描述了一种隐性类别学习系统，该系统通过在多个刺激维度上预先注意和预先决策地整合信息，将感知空间的区域与反应输出联系起来。在本研究中，我们测试了这种隐性的、信息整合类别学习是否能够跨越不同感官模态的刺激维度。人类学习由联合视觉 - 听觉类别范例组成的类别，这些范例包括一个视觉成分（包含点亮像素密度不同的矩形）和一个听觉成分（在实验1中，持续时间不同的听觉序列；在实验2中，音高不同的纯音）。这些类别要么有一个基于规则的一维解决方案，要么有一个信息整合的二维解决方案。人类可以通过跨两种刺激模态整合信息来解决信息整合类别任务。结果证明了一种重要的跨模态感官整合形式有助于类别学习，并且推进了该领域关于分类系统的感官组织的知识。
