Internal and external sources of variability in perceptual decision-making.

Internal and external sources of variability in perceptual decision-making.
复制标题

感知决策的内部和外部可变性来源。

DOI:
10.1037/rev0000080
复制
发表时间:
2018-01
影响因子:
5.4
通讯作者:
McKoon G
McKoon G
中科院分区:
心理学1区
文献类型:
--
作者:
Ratcliff R;Voskuilen C;McKoon G

文献摘要

参考文献

被引文献

相似文献

识别加工过程中变异性的来源对于理解感知和认知中的决策是很重要的。在处理过程中存在内部和外部变异性之间的区别,双通道实验已用于估计它们的相对贡献。在这些实验和我们的实验中,精确的感知刺激在稍后的测试中被重复,并检查两个试验的一致性,看看它是否大于偶然。在最近对决策过程建模的研究中,一些模型仅实现决策过程中的(内部)可变性,而另一些模型则明确地表示多个可变性来源。我们描述了五个感知双通道实验,这些实验显示出比机会更大的一致性,这与单独假设内部变异性的模型不一致。根据标准扩散决策模型对数据的拟合估计了证据积累(漂移)率(决策相关刺激信息)的总试验对试验变异性的估计。双通道程序提供了这种总变异性中有多少是系统的和依赖于刺激的估计。这些结果提供了第一个独立于模型拟合的行为证据,用于检查感知决策中使用的任务中漂移率的试验到试验变异性。
It is important to identify sources of variability in processing to understand decision-making in perception and cognition. There is a distinction between internal and external variability in processing and double-pass experiments have been used to estimate their relative contributions. In these and our experiments, exact perceptual stimuli are repeated later in testing and agreement on the two trials is examined to see if it is greater than chance. In recent research in modeling decision processes, some models implement only (internal) variability in the decision process while others explicitly represent multiple sources of variability. We describe five perceptual double-pass experiments which show greater than chance agreement which is inconsistent with models that assume internal variability alone. Estimates of total trial-to-trial variability in the evidence accumulation (drift) rate (the decision-relevant stimulus information) were estimated from fits of the standard diffusion decision-making model to the data. The double-pass procedure provided estimates of how much of this total variability was systematic and dependent on the stimulus. These results provide the first behavioral evidence independent of model fits for trial-to-trial variability in drift rate in tasks used in examining perceptual decision making.
DOI: 10.1523/jneurosci.2410-14.2015
发表时间: 2015-02-11
影响因子: 5.3
作者:
Hawkins, Guy E.;Forstmann, Birte U.;Brown, Scott D.
通讯作者: Brown, Scott D.
DOI: 10.1016/j.neuron.2012.06.035
发表时间: 2012-09-06
期刊: Neuron
影响因子: 16.2
作者:
Bowman NE;Kording KP;Gottfried JA
通讯作者: Gottfried JA
DOI: 10.1016/j.neuron.2010.12.037
发表时间: 2011-02-24
期刊: Neuron
影响因子: 16.2
作者:
Churchland AK;Kiani R;Chaudhuri R;Wang XJ;Pouget A;Shadlen MN
通讯作者: Shadlen MN
DOI: 10.3389/fnins.2012.00075
发表时间: 2012
影响因子: 4.3
作者:
Deneve S
通讯作者: Deneve S
DOI: 10.1016/j.neuron.2014.12.015
发表时间: 2014-12-17
期刊: NEURON
影响因子: 16.2
作者:
Kiani, Roozbeh;Corthell, Leah;Shadlen, Michael N.
通讯作者: Shadlen, Michael N.