IRCCS S. Lucia, Roma, Italy.
Cogn Neuropsychol. 2006;23(4):515-40. doi: 10.1080/02643290542000067.
Current feature-based semantic memory models assume that the semantic representations of concepts differ systematically across living and nonliving categories and that such differences account for the emergence of category-specific semantic deficits in brain-damaged people. To assess some of the different models' main assumptions about structural differences at the semantic feature level in the two major semantic domains, we administrated a feature-listing task to normal young volunteers on 64 concepts drawn from living and nonliving semantic categories. We investigated whether feature correlation, a variable with a crucial role in the emergence of category-specific deficits, should be computed as a concept-dependent or as a concept-independent measure, and we chose the former. We also addressed the issue of a psychological counterpart of feature production frequency. Finally, we analysed the database obtained from the feature-listing tasks, looked at cross-domain differences for correlation, feature frequency, distinctiveness, and feature type, and discussed the implications of these findings for current semantic memory models.
目前基于特征的语义记忆模型假设，概念的语义表示在生物和非生物类别之间存在系统差异，并且这种差异解释了脑损伤患者出现特定于类别的语义缺陷的原因。为了评估不同模型关于两个主要语义领域语义特征水平结构差异的主要假设，我们向 64 名正常年轻志愿者进行了特征列表任务，这些概念取自生物和非生物语义类别。我们调查了特征相关性，作为特定于类别的缺陷出现的关键变量，是否应该作为依赖于概念的还是独立于概念的度量来计算，我们选择了前者。我们还解决了特征生成频率的心理对应物的问题。最后，我们分析了特征列表任务获得的数据库，研究了相关性、特征频率、独特性和特征类型的跨域差异，并讨论了这些发现对当前语义记忆模型的意义。
