• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

支持简单决策的计算:扩散模型与紧急门控模型的比较

The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models.

作者信息

Evans Nathan J, Hawkins Guy E, Boehm Udo, Wagenmakers Eric-Jan, Brown Scott D

机构信息

Department of Psychology, Vanderbilt University, Nashville, USA.

School of Psychology, University of Newcastle, Callaghan, Australia.

出版信息

Sci Rep. 2017 Nov 27;7(1):16433. doi: 10.1038/s41598-017-16694-7.

DOI:10.1038/s41598-017-16694-7
PMID:29180789
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5703954/
Abstract

We investigate a question relevant to the psychology and neuroscience of perceptual decision-making: whether decisions are based on steadily accumulating evidence, or only on the most recent evidence. We report an empirical comparison between two of the most prominent examples of these theoretical positions, the diffusion model and the urgency-gating model, via model-based qualitative and quantitative comparisons. Our findings support the predictions of the diffusion model over the urgency-gating model, and therefore, the notion that evidence accumulates without much decay. Gross qualitative patterns and fine structural details of the data are inconsistent with the notion that decisions are based only on the most recent evidence. More generally, we discuss some strengths and weaknesses of scientific methods that investigate quantitative models by distilling the formal models to qualitative predictions.

摘要

我们研究了一个与感知决策的心理学和神经科学相关的问题

决策是基于不断积累的证据,还是仅基于最新的证据。我们通过基于模型的定性和定量比较,报告了这两种最突出的理论立场示例——扩散模型和紧急门控模型之间的实证比较。我们的研究结果支持扩散模型而非紧急门控模型的预测,因此支持证据在没有太多衰减的情况下积累的观点。数据的总体定性模式和精细结构细节与决策仅基于最新证据的观点不一致。更广泛地说,我们讨论了通过将形式模型提炼为定性预测来研究定量模型的科学方法的一些优缺点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/47889ef56b78/41598_2017_16694_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/8b27c2936402/41598_2017_16694_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/c40bbecaffe5/41598_2017_16694_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/3011b6ec9a10/41598_2017_16694_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/6beb36cada30/41598_2017_16694_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/b8c97f40a04e/41598_2017_16694_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/47889ef56b78/41598_2017_16694_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/8b27c2936402/41598_2017_16694_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/c40bbecaffe5/41598_2017_16694_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/3011b6ec9a10/41598_2017_16694_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/6beb36cada30/41598_2017_16694_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/b8c97f40a04e/41598_2017_16694_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77b8/5703954/47889ef56b78/41598_2017_16694_Fig6_HTML.jpg

相似文献

1
The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models.支持简单决策的计算:扩散模型与紧急门控模型的比较
Sci Rep. 2017 Nov 27;7(1):16433. doi: 10.1038/s41598-017-16694-7.
2
Early evidence affects later decisions: why evidence accumulation is required to explain response time data.早期证据会影响后期决策:为何需要证据积累来解释反应时间数据。
Psychon Bull Rev. 2014 Jun;21(3):777-84. doi: 10.3758/s13423-013-0551-8.
3
Discriminating evidence accumulation from urgency signals in speeded decision making.在快速决策中区分来自紧急信号的证据积累。
J Neurophysiol. 2015 Jul;114(1):40-7. doi: 10.1152/jn.00088.2015. Epub 2015 Apr 22.
4
Neural Correlates of Evidence and Urgency During Human Perceptual Decision-Making in Dynamically Changing Conditions.在动态变化条件下人类感知决策过程中证据和紧迫性的神经相关物。
Cereb Cortex. 2020 Sep 3;30(10):5471-5483. doi: 10.1093/cercor/bhaa129.
5
Think fast! The implications of emphasizing urgency in decision-making.快速思考!强调决策紧迫性的影响。
Cognition. 2021 Sep;214:104704. doi: 10.1016/j.cognition.2021.104704. Epub 2021 May 8.
6
A parameter recovery assessment of time-variant models of decision-making.决策时变模型的参数恢复评估。
Behav Res Methods. 2020 Feb;52(1):193-206. doi: 10.3758/s13428-019-01218-0.
7
The urgency-gating model can explain the effects of early evidence.紧急筛选模型可以解释早期证据的影响。
Psychon Bull Rev. 2015 Dec;22(6):1830-8. doi: 10.3758/s13423-015-0851-2.
8
Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).大分子拥挤现象:化学与物理邂逅生物学(瑞士阿斯科纳,2012年6月10日至14日)
Phys Biol. 2013 Aug;10(4):040301. doi: 10.1088/1478-3975/10/4/040301. Epub 2013 Aug 2.
9
The importance of urgency in decision making based on dynamic information.基于动态信息进行决策时的紧迫性的重要性。
PLoS Comput Biol. 2021 Oct 4;17(10):e1009455. doi: 10.1371/journal.pcbi.1009455. eCollection 2021 Oct.
10
Need for closure is associated with urgency in perceptual decision-making.认知闭合需求与知觉决策中的紧迫性相关。
Mem Cognit. 2017 Oct;45(7):1193-1205. doi: 10.3758/s13421-017-0718-z.

引用本文的文献

1
A revised diffusion model for conflict tasks.用于冲突任务的修正扩散模型。
Psychon Bull Rev. 2024 Feb;31(1):1-31. doi: 10.3758/s13423-023-02288-0. Epub 2023 Jun 12.
2
The importance of urgency in decision making based on dynamic information.基于动态信息进行决策时的紧迫性的重要性。
PLoS Comput Biol. 2021 Oct 4;17(10):e1009455. doi: 10.1371/journal.pcbi.1009455. eCollection 2021 Oct.
3
Causal role for the primate superior colliculus in the computation of evidence for perceptual decisions.灵长类动物上丘在感知决策证据计算中的因果作用。

本文引用的文献

1
Need for closure is associated with urgency in perceptual decision-making.认知闭合需求与知觉决策中的紧迫性相关。
Mem Cognit. 2017 Oct;45(7):1193-1205. doi: 10.3758/s13421-017-0718-z.
2
Bayes factors for the linear ballistic accumulator model of decision-making.贝叶斯因子在决策的线性弹道累加器模型中的应用。
Behav Res Methods. 2018 Apr;50(2):589-603. doi: 10.3758/s13428-017-0887-5.
3
Model flexibility analysis does not measure the persuasiveness of a fit.模型灵活性分析并不能衡量拟合的说服力。
Nat Neurosci. 2021 Aug;24(8):1121-1131. doi: 10.1038/s41593-021-00878-6. Epub 2021 Jun 28.
4
Perceptual Decision-Making in Children: Age-Related Differences and EEG Correlates.儿童的感知决策:年龄相关差异与脑电图相关性
Comput Brain Behav. 2021;4(1):53-69. doi: 10.1007/s42113-020-00087-7. Epub 2020 Jun 19.
5
A flexible framework for simulating and fitting generalized drift-diffusion models.用于模拟和拟合广义漂移扩散模型的灵活框架。
Elife. 2020 Aug 4;9:e56938. doi: 10.7554/eLife.56938.
6
Differentiating between integration and non-integration strategies in perceptual decision making.区分感知决策中的整合与非整合策略。
Elife. 2020 Apr 27;9:e55365. doi: 10.7554/eLife.55365.
7
Accumulators, Neurons, and Response Time.累加器、神经元和反应时间。
Trends Neurosci. 2019 Dec;42(12):848-860. doi: 10.1016/j.tins.2019.10.001. Epub 2019 Nov 5.
8
Feeling the Beat (and Seeing It, Too): Vibrotactile, Visual, and Bimodal Rate Discrimination.感受节奏(以及看到它):振动触觉、视觉和双模率辨别。
Multisens Res. 2020 Jul 1;33(1):31-59. doi: 10.1163/22134808-20191413.
9
ChaRTr: An R toolbox for modeling choices and response times in decision-making tasks.ChaRTr:用于在决策任务中建模选择和反应时间的 R 工具箱。
J Neurosci Methods. 2019 Dec 1;328:108432. doi: 10.1016/j.jneumeth.2019.108432. Epub 2019 Oct 3.
10
A theoretical analysis of the reward rate optimality of collapsing decision criteria.关于合并决策标准的奖励率最优性的理论分析。
Atten Percept Psychophys. 2020 Jun;82(3):1520-1534. doi: 10.3758/s13414-019-01806-4.
Psychol Rev. 2017 Apr;124(3):339-345. doi: 10.1037/rev0000057. Epub 2017 Feb 2.
4
Global gain modulation generates time-dependent urgency during perceptual choice in humans.全局增益调制在人类感知选择中产生时变的紧迫感。
Nat Commun. 2016 Nov 24;7:13526. doi: 10.1038/ncomms13526.
5
People adopt optimal policies in simple decision-making, after practice and guidance.经过实践和指导后,人们在简单决策中会采用最优策略。
Psychon Bull Rev. 2017 Apr;24(2):597-606. doi: 10.3758/s13423-016-1135-1.
6
Diffusion Decision Model: Current Issues and History.扩散决策模型:当前问题与历史
Trends Cogn Sci. 2016 Apr;20(4):260-281. doi: 10.1016/j.tics.2016.01.007. Epub 2016 Mar 5.
7
Evidence against perfect integration of sensory information during perceptual decision making.关于知觉决策过程中感觉信息未能完美整合的证据。
J Neurophysiol. 2016 Feb 1;115(2):915-30. doi: 10.1152/jn.00264.2015. Epub 2015 Nov 25.
8
The urgency-gating model can explain the effects of early evidence.紧急筛选模型可以解释早期证据的影响。
Psychon Bull Rev. 2015 Dec;22(6):1830-8. doi: 10.3758/s13423-015-0851-2.
9
Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions.认知神经科学中的序贯抽样模型:优势、应用与扩展
Annu Rev Psychol. 2016;67:641-66. doi: 10.1146/annurev-psych-122414-033645. Epub 2015 Sep 17.
10
Discriminating evidence accumulation from urgency signals in speeded decision making.在快速决策中区分来自紧急信号的证据积累。
J Neurophysiol. 2015 Jul;114(1):40-7. doi: 10.1152/jn.00088.2015. Epub 2015 Apr 22.