The time course of perceptual choice: the leaky, competing accumulator model.
The time course of perceptual choice: the leaky, competing accumulator model.
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DOI：
10.1037/0033-295x.108.3.550
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发表时间：
2001-07
影响因子：
5.4
通讯作者：
M. Usher;James L. McClelland
中科院分区：
文献类型：
--
作者：
M. Usher;James L. McClelland
在非线性决策单元的渐进、泄漏、随机和竞争信息积累模型中讨论了感知选择的时间过程。模型的特殊情况与经典扩散过程相匹配，但泄漏和竞争共同解决了现有扩散，随机漫步和累加器模型的几个挑战。该模型使用时间控制（例如，反应信号）和标准反应时间范式来解释选择任务的数据，其充分性优于其他方法。一个控制信息到达时间的新范例提供了进一步的支持。该模型捕捉了选择行为，而不考虑选择的数量，考虑了反应时间和选择数量之间的对数线性关系（希克定律），并解释了视觉单词识别中视觉和上下文启动的复杂模式。
The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units. Special cases of the model match a classical diffusion process, but leakage and competition work together to address several challenges to existing diffusion, random walk, and accumulator models. The model accounts for data from choice tasks using both time-controlled (e.g., response signal) and standard reaction time paradigms and its adequacy compares favorably with other approaches. A new paradigm that controls the time of arrival of information supporting different choice alternatives provides further support. The model captures choice behavior regardless of the number of alternatives, accounting for the log-linear relation between reaction time and number of alternatives (Hick's law) and explains a complex pattern of visual and contextual priming in visual word identification.