• 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

统计决策理论与快速目标导向运动的选择

Statistical decision theory and the selection of rapid, goal-directed movements.

作者信息

Trommershäuser Julia, Maloney Laurence T, Landy Michael S

机构信息

Department of Psychology, Center for Neural Science, New York University, New York, New York 10003, USA.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2003 Jul;20(7):1419-33. doi: 10.1364/josaa.20.001419.

DOI:10.1364/josaa.20.001419
PMID:12868646
Abstract

We present two experiments that test the range of applicability of a movement planning model (MEGaMove) based on statistical decision theory. Subjects attempted to earn money by rapidly touching a green target region on a computer screen while avoiding nearby red penalty regions. In two experiments we varied the magnitudes of penalties, the degree of overlap of target and penalty regions, and the number of penalty regions. Overall, subjects acted so as to maximize gain in a wide variety of stimulus configurations, in good agreement with predictions of the model.

摘要

我们展示了两个实验,这些实验测试了基于统计决策理论的运动规划模型(MEGaMove)的适用范围。受试者试图通过快速触摸计算机屏幕上的绿色目标区域来赚钱,同时避开附近的红色惩罚区域。在两个实验中,我们改变了惩罚的大小、目标区域与惩罚区域的重叠程度以及惩罚区域的数量。总体而言,受试者的行为是为了在各种刺激配置下实现收益最大化,这与模型的预测高度一致。

相似文献

1
Statistical decision theory and the selection of rapid, goal-directed movements.统计决策理论与快速目标导向运动的选择
J Opt Soc Am A Opt Image Sci Vis. 2003 Jul;20(7):1419-33. doi: 10.1364/josaa.20.001419.
2
Statistical decision theory and trade-offs in the control of motor response.统计决策理论与运动反应控制中的权衡
Spat Vis. 2003;16(3-4):255-75. doi: 10.1163/156856803322467527.
3
Humans rapidly estimate expected gain in movement planning.人类在运动规划中能快速估计预期收益。
Psychol Sci. 2006 Nov;17(11):981-8. doi: 10.1111/j.1467-9280.2006.01816.x.
4
Hedging your bets: intermediate movements as optimal behavior in the context of an incomplete decision.多方下注:在不完全决策背景下,中间行动作为最优行为。
PLoS Comput Biol. 2015 Mar 30;11(3):e1004171. doi: 10.1371/journal.pcbi.1004171. eCollection 2015 Mar.
5
Optimality of human movement under natural variations of visual-motor uncertainty.视觉运动不确定性自然变化下人体运动的最优性
J Vis. 2007 Sep 28;7(5):13.1-18. doi: 10.1167/7.5.13.
6
Limits to human movement planning with delayed and unpredictable onset of needed information.由于所需信息的延迟出现和不可预测性,人类运动规划存在局限性。
Exp Brain Res. 2006 Nov;175(2):276-84. doi: 10.1007/s00221-006-0546-z. Epub 2006 May 31.
7
Limits to human movement planning in tasks with asymmetric gain landscapes.在具有不对称收益格局的任务中人类运动规划的局限性。
J Vis. 2006 Jan 23;6(1):53-63. doi: 10.1167/6.1.5.
8
Sub-optimal allocation of time in sequential movements.连续运动中时间分配不当。
PLoS One. 2009 Dec 9;4(12):e8228. doi: 10.1371/journal.pone.0008228.
9
People are better at maximizing expected gain in a manual aiming task with rapidly changing probabilities than with rapidly changing payoffs.人们在一个快速变化概率的手动瞄准任务中比在快速变化收益的任务中更善于最大化预期收益。
J Neurophysiol. 2014 Mar;111(5):1016-26. doi: 10.1152/jn.00163.2013. Epub 2013 Dec 11.
10
Optimal compensation for changes in task-relevant movement variability.对与任务相关的运动变异性变化的最佳补偿。
J Neurosci. 2005 Aug 3;25(31):7169-78. doi: 10.1523/JNEUROSCI.1906-05.2005.

引用本文的文献

1
Age-dependent predictors of effective reinforcement motor learning across childhood.儿童期有效强化运动学习的年龄依赖性预测因素。
Elife. 2025 Aug 28;13:RP101036. doi: 10.7554/eLife.101036.
2
No evidence for a difference in Bayesian reasoning for egocentric versus allocentric spatial cognition.没有证据表明自我中心与他心空间认知的贝叶斯推理存在差异。
PLoS One. 2024 Oct 10;19(10):e0312018. doi: 10.1371/journal.pone.0312018. eCollection 2024.
3
Age-dependent predictors of effective reinforcement motor learning across childhood.儿童期有效强化运动学习的年龄依赖性预测因素。
bioRxiv. 2025 Mar 15:2024.07.09.602665. doi: 10.1101/2024.07.09.602665.
4
Aberrant decision-making as a risk factor for falls in aging.异常决策作为衰老过程中跌倒的一个风险因素。
Front Aging Neurosci. 2024 Jun 24;16:1384242. doi: 10.3389/fnagi.2024.1384242. eCollection 2024.
5
Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample.贝叶斯分析:使用影响度量来检验从样本中得出的概率密度信息的规范使用。
PLoS Comput Biol. 2024 May 1;20(5):e1011999. doi: 10.1371/journal.pcbi.1011999. eCollection 2024 May.
6
The type 1 submovement conundrum: an investigation into the function of velocity zero-crossings within two-component aiming movements.1 型次移动难题:对双组件瞄准运动中速度零交叉点功能的研究。
Exp Brain Res. 2024 Apr;242(4):921-935. doi: 10.1007/s00221-024-06784-0. Epub 2024 Feb 8.
7
Detecting visual texture patterns in binary sequences through pattern features.通过模式特征检测二进制序列中的视觉纹理模式。
J Vis. 2023 Nov 1;23(13):1. doi: 10.1167/jov.23.13.1.
8
Motor variability modulates calibration of precisely timed movements.运动变异性调节精确计时运动的校准。
iScience. 2023 Jun 25;26(7):107204. doi: 10.1016/j.isci.2023.107204. eCollection 2023 Jul 21.
9
Deciding While Acting-Mid-Movement Decisions Are More Strongly Affected by Action Probability than Reward Amount.在行动中决策-动作概率比奖励金额更能强烈影响动作中期的决策。
eNeuro. 2023 Apr 19;10(4). doi: 10.1523/ENEURO.0240-22.2023. Print 2023 Apr.
10
Contextual inference in learning and memory.语境推理在学习和记忆中的作用。
Trends Cogn Sci. 2023 Jan;27(1):43-64. doi: 10.1016/j.tics.2022.10.004. Epub 2022 Nov 24.