How the Stroop Effect Arises from Optimal Response Times in Laterally Connected Self-Organizing Maps.

Divya Prabhakaran, Uli Grasemann, Swathi Kiran, Risto Miikkulainen
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Abstract

The Stroop effect refers to cognitive interference in a color-naming task: When the color and the word do not match, the response is slower and more likely to be incorrect. The Stroop task is used to assess cognitive flexibility, selective attention, and executive function. This paper implements the Stroop task with self-organizing maps (SOMs): Target color and the competing word are inputs for the semantic and lexical maps, associative connections bring color information to the lexical map, and lateral connections combine their effects over time. The model achieved an overall accuracy of 84.2%, with significantly fewer errors and faster responses in congruent compared to no-input and incongruent conditions. The model's effect is a side effect of optimizing speed-accuracy tradeoffs, and can thus be seen as a cost associated with overall efficient performance. The model can further serve studying neurologically-inspired cognitive control and related phenomena.

横向连接自组织映射的最优响应时间如何产生Stroop效应。
Stroop效应指的是在颜色命名任务中的认知干扰:当颜色和单词不匹配时,反应更慢,更有可能是错误的。Stroop任务用于评估认知灵活性、选择性注意和执行功能。本文采用自组织映射(SOMs)实现Stroop任务:目标颜色和竞争词作为语义和词汇映射的输入,联想连接将颜色信息引入词汇映射,横向连接将它们随时间的影响结合起来。该模型的总体准确率为84.2%,与无输入和不一致条件相比,在一致条件下的错误显著减少,响应速度更快。该模型的效果是优化速度-精度权衡的副作用,因此可以被视为与整体高效性能相关的成本。该模型可进一步服务于神经启发的认知控制及相关现象的研究。
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