A Parallel Distributed Processing Model of Stimulus–Stimulus and Stimulus–Response Compatibility
A Parallel Distributed Processing Model of Stimulus–Stimulus and Stimulus–Response Compatibility
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DOI：
10.1006/cogp.1998.0703
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发表时间：
1999-05
影响因子：
2.6
通讯作者：
Huazhong Zhang;Jun Zhang;S. Kornblum
中科院分区：
文献类型：
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作者：
Huazhong Zhang;Jun Zhang;S. Kornblum
提出了并行分布式处理（PDP）模型来解释不同认知和感知任务中的选择反应时间（RT）性能，例如 Stroop 任务、Simon 任务、Eriksen 侧翼任务和刺激-响应兼容性任务，这些任务在刺激-刺激和刺激-响应重叠方面相互关联（Kornblum，1992）。在多层（输入-中间-输出）网络中，代表刺激和响应特征的类神经元节点被分组为代表刺激和响应维度的相互抑制模块。刺激-刺激重叠是通过将两个输入模块汇聚到一个公共中间模块上来实现的，刺激-响应重叠是通过代表输出自动启动的直接路径来实现的。在各种简单任务中模拟平均 RT，此外，根据简单任务中的性能生成复杂任务的预测。模拟结果与实验结果之间的匹配为我们的 PDP 兼容性模型提供了强有力的支持。
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.