Suppr超能文献

多选项漂移扩散模型预测了基于价值的决策中视觉注视点与选择之间的关系。

Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions.

机构信息

Department of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA.

出版信息

Proc Natl Acad Sci U S A. 2011 Aug 16;108(33):13852-7. doi: 10.1073/pnas.1101328108. Epub 2011 Aug 1.

Abstract

How do we make decisions when confronted with several alternatives (e.g., on a supermarket shelf)? Previous work has shown that accumulator models, such as the drift-diffusion model, can provide accurate descriptions of the psychometric data for binary value-based choices, and that the choice process is guided by visual attention. However, the computational processes used to make choices in more complicated situations involving three or more options are unknown. We propose a model of trinary value-based choice that generalizes what is known about binary choice, and test it using an eye-tracking experiment. We find that the model provides a quantitatively accurate description of the relationship between choice, reaction time, and visual fixation data using the same parameters that were estimated in previous work on binary choice. Our findings suggest that the brain uses similar computational processes to make binary and trinary choices.

摘要

当面临多个选择(例如在超市货架上)时,我们如何做出决策?先前的研究表明,累积模型(如漂移-扩散模型)可以为基于二进制值的选择的心理测量数据提供准确的描述,并且选择过程受到视觉注意的指导。然而,用于在涉及三个或更多选项的更复杂情况下做出选择的计算过程是未知的。我们提出了一种基于三进制值的选择模型,该模型推广了关于二进制选择的知识,并使用眼动追踪实验对其进行了测试。我们发现,该模型使用在先前的二进制选择研究中估计的相同参数,对选择、反应时间和视觉固定数据之间的关系进行了定量准确的描述。我们的发现表明,大脑使用类似的计算过程来做出二进制和三进制选择。

相似文献

4
An attentional drift diffusion model over binary-attribute choice.二元属性选择的注意漂移扩散模型。
Cognition. 2017 Nov;168:34-45. doi: 10.1016/j.cognition.2017.06.007. Epub 2017 Jun 21.
5
Fixation patterns in simple choice reflect optimal information sampling.简单选择中的注视模式反映了最优信息采样。
PLoS Comput Biol. 2021 Mar 26;17(3):e1008863. doi: 10.1371/journal.pcbi.1008863. eCollection 2021 Mar.
10
The formation of preference in risky choice.风险选择中的偏好形成。
PLoS Comput Biol. 2019 Aug 29;15(8):e1007201. doi: 10.1371/journal.pcbi.1007201. eCollection 2019 Aug.

引用本文的文献

7
Decision makers consider all options in choice triplets.决策者会考虑选择三元组中的所有选项。
PLoS One. 2025 Apr 21;20(4):e0320686. doi: 10.1371/journal.pone.0320686. eCollection 2025.

本文引用的文献

2
How the brain integrates costs and benefits during decision making.大脑如何在决策过程中整合成本和收益。
Proc Natl Acad Sci U S A. 2010 Dec 14;107(50):21767-72. doi: 10.1073/pnas.0908104107. Epub 2010 Nov 30.
3
Decision threshold modulation in the human brain.人类大脑中的决策阈值调制。
J Neurosci. 2010 Oct 27;30(43):14305-17. doi: 10.1523/JNEUROSCI.2371-10.2010.
5
A mechanistic account of value computation in the human brain.人类大脑中价值计算的机械论解释。
Proc Natl Acad Sci U S A. 2010 May 18;107(20):9430-5. doi: 10.1073/pnas.1001732107. Epub 2010 May 3.
7
Decisions in changing conditions: the urgency-gating model.变化条件下的决策:紧急筛选模型。
J Neurosci. 2009 Sep 16;29(37):11560-71. doi: 10.1523/JNEUROSCI.1844-09.2009.
9
Decision-making with multiple alternatives.具有多个备选方案的决策
Nat Neurosci. 2008 Jun;11(6):693-702. doi: 10.1038/nn.2123. Epub 2008 May 18.
10
The neural systems that mediate human perceptual decision making.介导人类感知决策的神经系统。
Nat Rev Neurosci. 2008 Jun;9(6):467-79. doi: 10.1038/nrn2374. Epub 2008 May 9.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验