School of Psychological Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia.
J Exp Psychol Learn Mem Cogn. 2013 May;39(3):801-20. doi: 10.1037/a0029667. Epub 2012 Aug 20.
A classic distinction in perceptual information processing is whether stimuli are composed of separable dimensions, which are highly analyzable, or integral dimensions, which are processed holistically. Previous tests of a set of logical-rule models of classification have shown that separable-dimension stimuli are processed serially if the dimensions are spatially separated and as a mixture of serial and parallel processes if the dimensions are spatially overlapping (Fifić, Little, & Nosofsky, 2010; Little, Nosofsky, & Denton, 2011). In the current research, the logical-rule models are applied to predict response-time (RT) data from participants trained to classify integral-dimension color stimuli into rule-based categories. In dramatic contrast to the previous results for separable-dimension stimuli, analysis of the current data indicated that processing was best captured by a single-channel coactive model. The results converge with previous operations that suggest holistic processing of integral-dimension stimuli and demonstrate considerable generality for the application of the logical-rule models to predicting RT data from rule-based classification experiments.
在感知信息处理中，一个经典的区别是刺激是由可分离的维度组成的，还是整体的维度组成的。之前对一组分类逻辑规则模型的测试表明，如果维度在空间上是分开的，那么可分离维度的刺激是串行处理的，如果维度在空间上是重叠的，那么刺激是串行和并行混合处理的（Fifić、Little 和 Nosofsky，2010；Little、Nosofsky 和 Denton，2011）。在当前的研究中，逻辑规则模型被应用于预测受过训练的参与者对基于规则的颜色刺激进行分类的反应时（RT）数据。与之前可分离维度刺激的结果形成鲜明对比的是，对当前数据的分析表明，单通道共同激活模型最能捕捉到处理过程。这些结果与之前的操作一致，表明整体维度刺激的整体处理，并证明了逻辑规则模型在预测基于规则的分类实验中的 RT 数据方面具有相当大的通用性。
