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Cognitive and Neural Mechanisms of Decision and Control

决策和控制的认知和神经机制

基本信息

批准号：
7937144
负责人：
JONATHAN D COHEN
金额：
$ 20.37万
依托单位：
PRINCETON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-30 至 2011-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7937144
关键词：
Cognitive Neural Mechanisms Decision Control

项目摘要

DESCRIPTION (provided by applicant): This project will study the optimization of speeded decisions, and the control and monitoring mechanisms that serve this optimization by balancing performance costs and benefits. These lines of work will be pursued under two specific aims. First, we will build on theoretical work from the previous period, which used the drift diffusion model and neural network modeling to produce detailed predictions about behavior and the dynamics of neural mechanisms underlying control. Here, we aim to test these predictions using behavioral, fMRI, and electrophysiological techniques, in coordination with continued modeling and analysis work in Project 6. These studies will address two-alternative forced choice tasks in which speeded decisions must be made between a correct (rewarded) and incorrect (unrewarded) alternative, tasks that will also be explored within human developmental and non-human primate populations in Projects 2, 4, and 5. In a second, complementary line of work, we will extend our investigation to decisions that require a more graded evaluation of the relative costs and benefits of alternative courses of action. Many decisions do not involve a simple choice between correct vs. incorrect (rewarded vs. unrewarded) alternatives, but rather require an evaluation of the relative costs and benefits of the options. We will use behavioral, imaging, electrophysiological, and pupillometric methods to characterize the neural mechanisms involved in evaluating costs and benefits in such circumstances, and how these evaluations are combined to compute utility and control decision-making within and between tasks. Experiments in this second line of studies will parallel developmental studies in Project 4 and neurophysiological studies in Project 5 examining the decision between a well-defined alternative versus the opportunity to explore other alternatives.

描述（由申请人提供）：该项目将研究快速决策的优化，以及通过平衡性能成本和收益来服务于此优化的控制和监控机制。将在两个具体目标下开展这些工作。首先，我们将在前一阶段的理论工作的基础上，使用漂移扩散模型和神经网络建模来详细预测控制背后的神经机制的行为和动力学。在这里，我们的目标是测试这些预测使用行为，功能磁共振成像和电生理技术，在项目6中继续建模和分析工作的协调。这些研究将解决两种选择的强迫选择任务，其中必须在正确（奖励）和不正确（无奖励）的选择之间做出快速决策，这些任务也将在项目2，4和5中的人类发育和非人类灵长类动物种群中进行探索。在第二个补充性的工作中，我们将把我们的调查扩展到需要对替代行动方案的相对成本和收益进行更分级评估的决策。许多决策并不涉及在正确与不正确（奖励与未奖励）的选项之间进行简单的选择，而是需要评估选项的相对成本和收益。我们将使用行为，成像，电生理和瞳孔测量方法来表征在这种情况下评估成本和收益所涉及的神经机制，以及如何将这些评估结合起来计算效用和控制任务内和任务之间的决策。在这第二条研究线的实验将平行项目4和项目5中的神经生理学研究的发展研究，检查一个明确的替代品与探索其他替代品的机会之间的决定。

项目成果

期刊论文数量（120）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A comparison of bounded diffusion models for choice in time controlled tasks.

时间控制任务中选择的有界扩散模型的比较。

DOI：
10.1016/j.jmp.2009.03.001
发表时间：
2009
期刊：
Journal of mathematical psychology
影响因子：
1.8
作者：
Zhang,Jiaxiang;Bogacz,Rafal;Holmes,Philip
通讯作者：
Holmes,Philip

A labor/leisure tradeoff in cognitive control.

DOI：
10.1037/a0031048
发表时间：
2014-02
期刊：
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL
影响因子：
4.1
作者：
Kool, Wouter;Botvinick, Matthew
通讯作者：
Botvinick, Matthew

Optimal performance in a countermanding saccade task.

DOI：
10.1016/j.brainres.2009.12.018
发表时间：
2010-03-08
期刊：
BRAIN RESEARCH
影响因子：
2.9
作者：
Wong-Lin, KongFatt;Eckhoff, Philip;Holmes, Philip;Cohen, Jonathan D.
通讯作者：
Cohen, Jonathan D.

Sequential effects in two-choice reaction time tasks: decomposition and synthesis of mechanisms.

DOI：
10.1162/neco.2009.09-08-866
发表时间：
2009-09
期刊：
Neural computation
影响因子：
2.9
作者：
Gao J;Wong-Lin K;Holmes P;Simen P;Cohen JD
通讯作者：
Cohen JD

Multivoxel pattern analysis reveals increased memory targeting and reduced use of retrieved details during single-agenda source monitoring.

DOI：
10.1523/jneurosci.3587-08.2009
发表时间：
2009-01-14
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
0
作者：
McDuff SG;Frankel HC;Norman KA
通讯作者：
Norman KA