Connectionist and diffusion models of reaction time
Connectionist and diffusion models of reaction time
复制标题
DOI：
10.1037/0033-295x.106.2.261
复制
发表时间：
1999-04-01
影响因子：
5.4
通讯作者：
McKoon, G
中科院分区：
文献类型：
--
作者：
Ratcliff, R;Van Zandt, T;McKoon, G
两个联结主义框架GRAIN （J. L. McClelland, 1993）、brain-state-in-a-box （J. a . Anderson, 1991）和R. Ratcliffs（1978）扩散模型使用信号检测任务的数据进行了评估。因变量包括反应概率，正确和错误反应的反应时间，以及反应时间分布的形状。扩散模型考虑了数据的所有方面，包括错误反应时间，这在以前是所有响应时间模型的一个问题。联结主义模型充分解释了数据的许多方面，但除了一个与扩散模型相似的模型外，每个模型在重要方面都或多或少地失败了。这些发现促进了扩散模型的发展，并表明反应时间研究和理论的悠久传统是发展和测试关于决策如何随时间产生的联系主义假设的肥沃领域。
Two connectionist frameworks, GRAIN (J. L. McClelland, 1993) and brain-state-in-a-box (J. A. Anderson, 1991), and R. Ratcliffs (1978) diffusion model were evaluated using data from a signal detection task. Dependent variables included response probabilities, reaction times for correct and error responses, and shapes of reaction-time distributions. The diffusion model accounted for all aspects of the data, including error reaction times that had previously been a problem for all response-time models. The connectionist models accounted for many aspects of the data adequately, but each failed to a greater or lesser degree in important ways except for one model that was similar to the diffusion model. The findings advance the development of the diffusion model and show that the long tradition of reaction-time research and theory is a fertile domain for development and testing of connectionist assumptions about how decisions are generated over time.