Suppr超能文献

神经连接的变化是决策阈值调节的基础,以实现奖励最大化。

Changes in neural connectivity underlie decision threshold modulation for reward maximization.

机构信息

Max Planck Institute for Human Development, D-14195 Berlin, Germany.

出版信息

J Neurosci. 2012 Oct 24;32(43):14942-50. doi: 10.1523/JNEUROSCI.0573-12.2012.

Abstract

Using neuroimaging in combination with computational modeling, this study shows that decision threshold modulation for reward maximization is accompanied by a change in effective connectivity within corticostriatal and cerebellar-striatal brain systems. Research on perceptual decision making suggests that people make decisions by accumulating sensory evidence until a decision threshold is crossed. This threshold can be adjusted to changing circumstances, to maximize rewards. Decision making thus requires effectively managing the amount of accumulated evidence versus the amount of available time. Importantly, the neural substrate of this decision threshold modulation is unknown. Participants performed a perceptual decision-making task in blocks with identical duration but different reward schedules. Behavioral and modeling results indicate that human subjects modulated their decision threshold to maximize net reward. Neuroimaging results indicate that decision threshold modulation was achieved by adjusting effective connectivity within corticostriatal and cerebellar-striatal brain systems, the former being responsible for processing of accumulated sensory evidence and the latter being responsible for automatic, subsecond temporal processing. Participants who adjusted their threshold to a greater extent (and gained more net reward) also showed a greater modulation of effective connectivity. These results reveal a neural mechanism that underlies decision makers' abilities to adjust to changing circumstances to maximize reward.

摘要

本研究结合神经影像学和计算建模,表明在追求最大化奖励的决策过程中,决策阈值的调节伴随着皮质纹状体和小脑纹状体脑系统内有效连接的变化。关于感知决策的研究表明,人们通过积累感官证据来做出决策,直到达到决策阈值。这个阈值可以根据变化的情况进行调整,以最大化奖励。因此,决策需要有效地管理积累的证据量与可用时间量。重要的是,这种决策阈值调节的神经基础尚不清楚。参与者在具有相同持续时间但不同奖励计划的块中执行感知决策任务。行为和建模结果表明,人类主体调节决策阈值以最大化净奖励。神经影像学结果表明,决策阈值的调节是通过调节皮质纹状体和小脑纹状体脑系统内的有效连接来实现的,前者负责处理积累的感官证据,后者负责自动、亚秒级的时间处理。那些更能调整阈值(并获得更多净奖励)的参与者也表现出更大的有效连接调节。这些结果揭示了一种神经机制,它是决策制定者适应变化环境以最大化奖励的能力的基础。

相似文献

4
Rapid decision threshold modulation by reward rate in a neural network.神经网络中奖励率对快速决策阈值的调制
Neural Netw. 2006 Oct;19(8):1013-26. doi: 10.1016/j.neunet.2006.05.038. Epub 2006 Sep 20.
6
Dopaminergic modulation of the trade-off between probability and time in economic decision-making.经济决策中概率与时间权衡的多巴胺能调节
Eur Neuropsychopharmacol. 2015 Jun;25(6):817-27. doi: 10.1016/j.euroneuro.2015.02.011. Epub 2015 Mar 16.

引用本文的文献

1
Contributions of the Basal Ganglia to Visual Perceptual Decisions.基底神经节对视觉感知决策的贡献。
Annu Rev Vis Sci. 2023 Sep 15;9:385-407. doi: 10.1146/annurev-vision-111022-123804.

本文引用的文献

1
Timing functions of the cerebellum.小脑的时间功能。
J Cogn Neurosci. 1989 Spring;1(2):136-52. doi: 10.1162/jocn.1989.1.2.136.
3
Functional and effective connectivity: a review.功能连接和有效连接:综述。
Brain Connect. 2011;1(1):13-36. doi: 10.1089/brain.2011.0008.
4
Transformation of stimulus value signals into motor commands during simple choice.简单选择过程中刺激值信号向运动指令的转换。
Proc Natl Acad Sci U S A. 2011 Nov 1;108(44):18120-5. doi: 10.1073/pnas.1109322108. Epub 2011 Oct 17.
9
Neural mechanisms of timing.神经计时机制。
Trends Cogn Sci. 1997 Aug;1(5):163-9. doi: 10.1016/S1364-6613(97)01058-9.
10
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.

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