Neuroscience and Aphasia Research Unit (NARU), School of Psychological Sciences, Zochonis Building, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Neuropsychologia. 2013 Jan;51(1):14-25. doi: 10.1016/j.neuropsychologia.2012.11.009. Epub 2012 Nov 15.
Contemporary neuroscience theories assume that concepts are formed through experience in multiple sensory-motor modalities. Quantifying the contribution of each modality to different object categories is critical to understanding the structure of the conceptual system and to explaining category-specific knowledge deficits. Verbal feature listing is typically used to elicit this information but has a number of drawbacks: sensory knowledge often cannot easily be translated into verbal features and many features are experienced in multiple modalities. Here, we employed a more direct approach in which subjects rated their knowledge of objects in each sensory-motor modality separately. Compared with these ratings, feature listing over-estimated the importance of visual form and functional knowledge and under-estimated the contributions of other sensory channels. An item's sensory rating proved to be a better predictor of lexical-semantic processing speed than the number of features it possessed, suggesting that ratings better capture the overall quantity of sensory information associated with a concept. Finally, the richer, multi-modal rating data not only replicated the sensory-functional distinction between animals and non-living things but also revealed novel distinctions between different types of artefact. Hierarchical cluster analyses indicated that mechanical devices (e.g., vehicles) were distinct from other non-living objects because they had strong sound and motion characteristics, making them more similar to animals in this respect. Taken together, the ratings align with neuroscience evidence in suggesting that a number of distinct sensory processing channels make important contributions to object knowledge. Multi-modal ratings for 160 objects are provided as supplementary materials.
当代神经科学理论假设概念是通过多种感觉运动模式的经验形成的。量化每种模式对不同物体类别的贡献对于理解概念系统的结构和解释特定于类别的知识缺陷至关重要。通常使用口头特征列表来获取此信息,但它有许多缺点:感官知识通常不容易转化为口头特征,并且许多特征在多种模式中都有体验。在这里,我们采用了一种更直接的方法,即让受试者分别对每个感觉运动模式中的物体进行知识评估。与这些评分相比,特征列表高估了视觉形式和功能知识的重要性,低估了其他感觉通道的贡献。项目的感官评分被证明是词汇语义处理速度的更好预测指标,而不是其拥有的特征数量,这表明评分更好地捕捉了与概念相关的整体感官信息量。最后,更丰富、多模态的评分数据不仅复制了动物和非生物之间的感觉-功能区别,还揭示了不同类型的人工制品之间的新区别。层次聚类分析表明,机械装置(例如车辆)与其他非生物物体不同,因为它们具有强烈的声音和运动特征,在这方面它们与动物更为相似。总的来说,这些评分与神经科学证据一致,表明许多不同的感觉处理通道对物体知识做出了重要贡献。为 160 个物体提供了多模态评分作为补充材料。