Time-varying boundaries for diffusion models of decision making and response time.
Time-varying boundaries for diffusion models of decision making and response time.
复制标题
DOI：
10.3389/fpsyg.2014.01364
复制
发表时间：
2014
影响因子：
3.8
通讯作者：
Wagenmakers EJ
中科院分区：
文献类型：
--
作者：
Zhang S;Lee MD;Vandekerckhove J;Maris G;Wagenmakers EJ
扩散模型是对二选一决策时间过程的广泛应用和成功的解释。大多数扩散模型假设边界不变，这是必须从刺激中抽样才能做出决定的证据的阈值水平。我们总结了将决策和响应时间的分布与具有时变边界的扩散模型联系起来的统计学的理论结果。然后，我们发展了一种从经验数据中寻找时变边界的计算方法，并将我们的新方法应用于两个问题。第一个问题涉及找到使扩散模型等价于累加器模型的交替序贯抽样类的时变边界。第二个问题涉及在个体层面上找到与感知刺激最匹配的经验数据的时变边界，这些经验数据为两种决策选择提供了相同的证据。我们讨论了在扩散模型中使用时变边界的理论和模型含义，以及我们的方法对它们的推断的局限性和潜力。
Diffusion models are widely-used and successful accounts of the time course of two-choice decision making. Most diffusion models assume constant boundaries, which are the threshold levels of evidence that must be sampled from a stimulus to reach a decision. We summarize theoretical results from statistics that relate distributions of decisions and response times to diffusion models with time-varying boundaries. We then develop a computational method for finding time-varying boundaries from empirical data, and apply our new method to two problems. The first problem involves finding the time-varying boundaries that make diffusion models equivalent to the alternative sequential sampling class of accumulator models. The second problem involves finding the time-varying boundaries, at the individual level, that best fit empirical data for perceptual stimuli that provide equal evidence for both decision alternatives. We discuss the theoretical and modeling implications of using time-varying boundaries in diffusion models, as well as the limitations and potential of our approach to their inference.
登录
查看更多内容
影响因子：
1.8
作者：
Chen, Xinfu;Cheng, Lan;Saunders, David
通讯作者：
Saunders, David
影响因子：
2
作者：
Cheng, Lan;Chen, Xinfu;Saunders, David
通讯作者：
Saunders, David
影响因子：
3.5
作者：
Lee, MD;Cummins, TDR
通讯作者：
Cummins, TDR
影响因子：
5.3
作者：
Gluth, Sebastian;Rieskamp, Joerg;Buechel, Christian
通讯作者：
Buechel, Christian
影响因子：
5.3
作者：
Cisek, Paul;Puskas, Genevieve Aude;El-Murr, Stephany
通讯作者：
El-Murr, Stephany