论文标题
降低竞争邻居的噪音：多链接中横向抑制的单词检索
Reducing Noise from Competing Neighbours: Word Retrieval with Lateral Inhibition in Multilink
论文作者
论文摘要
Multilink是在不同任务环境下单语和多语言个体中单词检索的计算模型（Dijkstra等，2018）。在本研究中，我们为多链接的词汇网络添加了横向抑制。根据英语，英国和荷兰词典项目的反应时间，参数适合参数。我们发现整个数据集的最大相关性为0.643（n = 1,205）。此外，由于增加了横向抑制作用，模拟本身变得更快。我们对邻里研究的刺激进行了测试（Mulder等，2018）。发现横向抑制作用可改善本研究的多链接相关性，总体相关性为0.67。接下来，我们通过对两项有关上界同型植物同型的研究的数据进行模拟来探讨横向抑制作用作为模型任务/决策系统的一部分（Vanlangendonck等人，印刷中； Goertz，2018年）。我们发现，尽管横向抑制在单词选择过程中起着重要作用，但仅此功能就不足以导致正确的响应选择。为了解决这个问题，我们为多链接添加了一个新的任务组件，尤其是为了说明室上同谱，认知和特定语言的控制单词的翻译过程。随后的仿真结果表明，模式与Goertz研究中的模式非常相似。通过反应时间和模拟模型周期时间之间的0.538（n = 254）的总体相关性以及条件模式相关性为0.853（n = 8），对经验数据的同构对经验数据的同态性进一步证明。我们得出的结论是，多链接可以非常适合经验数据，尤其是在允许抑制参数的特定任务设置时。
Multilink is a computational model for word retrieval in monolingual and multilingual individuals under different task circumstances (Dijkstra et al., 2018). In the present study, we added lateral inhibition to Multilink's lexical network. Parameters were fit on the basis of reaction times from the English, British, and Dutch Lexicon Projects. We found a maximum correlation of 0.643 (N=1,205) on these data sets as a whole. Furthermore, the simulations themselves became faster as a result of adding lateral inhibition. We tested the fitted model to stimuli from a neighbourhood study (Mulder et al., 2018). Lateral inhibition was found to improve Multilink's correlations for this study, yielding an overall correlation of 0.67. Next, we explored the role of lateral inhibition as part of the model's task/decision system by running simulations on data from two studies concerning interlingual homographs (Vanlangendonck et al., in press; Goertz, 2018). We found that, while lateral inhibition plays a substantial part in the word selection process, this alone is not enough to result in a correct response selection. To solve this problem, we added a new task component to Multilink, especially designed to account for the translation process of interlingual homographs, cognates, and language-specific control words. The subsequent simulation results showed patterns remarkably similar to those in the Goertz study. The isomorphicity of the simulated data to the empirical data was further attested by an overall correlation of 0.538 (N=254) between reaction times and simulated model cycle times, as well as a condition pattern correlation of 0.853 (N=8). We conclude that Multilink yields an excellent fit to empirical data, particularly when a task-specific setting of the inhibition parameters is allowed.
