A race-like model is developed to account for various phenomena arising in simple reaction time (RT) tasks. Within the model, each stimulus is represented by a number of grains of information or activation processed in parallel. The stimulus is detected when a criterion number of activated grains reaches a decision center. Using the concept of statistical facilitation, the model accounts for many classical effects on mean simple RT, including those of stimulus area, stimulus intensity, stimulus duration, criterion manipulations, redundant stimuli, and the dissociation between intensity effects on simple RTs and temporal order judgments. The model is also consistent with distributional properties of simple RTs.

中文翻译：

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简单的反应时间和统计促进：平行晶粒模型

开发了一种类竞赛模型来解释简单反应时间 (RT) 任务中出现的各种现象。在模型中，每个刺激都由许多并行处理的信息或激活颗粒表示。当激活颗粒的标准数量到达决策中心时，会检测到刺激。使用统计促进的概念，该模型解释了对平均简单 RT 的许多经典影响，包括刺激面积、刺激强度、刺激持续时间、标准操作、冗余刺激以及强度对简单 RT 和时间顺序判断的影响之间的分离. 该模型也与简单 RT 的分布特性一致。