Zhang H H, Zhang J, Kornblum S
Department of Social and Behavioral Sciences, Indiana University-Kokomo, 46904-9003, USA.
Cogn Psychol. 1999 May;38(3):386-432. doi: 10.1006/cogp.1998.0703.
A parallel distributed processing (PDP) model is proposed to account for choice reaction time (RT) performance in diverse cognitive and perceptual tasks such as the Stroop task, the Simon task, the Eriksen flanker task, and the stimulus-response compatibility task that are interrelated in terms of stimulus-stimulus and stimulus-response overlap (Kornblum, 1992). In multilayered (input-intermediate-output) networks, neuron-like nodes that represent stimulus and response features are grouped into mutually inhibitory modules that represent stimulus and response dimensions. The stimulus-stimulus overlap is implemented by a convergence of two input modules onto a common intermediate module, and the stimulus-response overlap by direct pathways representing automatic priming of outputs. Mean RTs are simulated in various simple tasks and, furthermore, predictions are generated for complex tasks based on performance in simpler tasks. The match between simulated and experimental results lends strong support for our PDP model of compatibility.
提出了一种并行分布式处理（PDP）模型，以解释在各种认知和感知任务中的选择反应时（RT）表现，这些任务包括斯特鲁普任务、西蒙任务、埃里克森侧翼任务以及刺激-反应兼容性任务，它们在刺激-刺激和刺激-反应重叠方面相互关联（科恩布卢姆，1992）。在多层（输入-中间-输出）网络中，代表刺激和反应特征的类神经元节点被分组为代表刺激和反应维度的相互抑制模块。刺激-刺激重叠通过两个输入模块汇聚到一个共同的中间模块来实现，刺激-反应重叠则通过代表输出自动启动的直接通路来实现。在各种简单任务中模拟了平均反应时，此外，还根据较简单任务的表现对复杂任务进行了预测。模拟结果与实验结果的匹配为我们的兼容性PDP模型提供了有力支持。
