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Learning the value of information in an uncertain world.在一个不确定的世界中了解信息的价值。
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Estimation of in vivo brain-to-skull conductivity ratio in humans.人体活体脑与颅骨电导率比值的估计。
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Neuroimaging studies of practice-related change: fMRI and meta-analytic evidence of a domain-general control network for learning.与练习相关变化的神经影像学研究:功能磁共振成像及学习领域通用控制网络的元分析证据
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The neural correlates of motor skill automaticity.运动技能自动化的神经关联
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Brain potentials associated with expected and unexpected good and bad outcomes.与预期和意外的好与坏结果相关的脑电位。
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Brain potentials related to self-generated and external information used for performance monitoring.与用于绩效监测的自我产生信息和外部信息相关的脑电位。
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控制试错学习的皮质边缘机制。

Corticolimbic mechanisms in the control of trial and error learning.

作者信息

Luu Phan, Shane Matthew, Pratt Nikki L, Tucker Don M

机构信息

Electrical Geodesics, Inc., 1600 Millrace Dr. Suite 307, Eugene, OR 97403, USA.

出版信息

Brain Res. 2009 Jan 9;1247:100-13. doi: 10.1016/j.brainres.2008.09.084. Epub 2008 Oct 14.

DOI:10.1016/j.brainres.2008.09.084
PMID:18952071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2650437/
Abstract

As learning progresses, human and animal studies suggest that a frontal executive system is strongly involved early in learning, whereas a posterior monitoring and control system comes online as learning progresses. In a previous study, we employed dense array EEG methodology to delineate the involvement of these two systems as human participants learn, through trial and error, to associate manual responses with arbitrary digit codes. The results were generally consistent with the dual-system learning model, pointing to the importance of both systems as learning progressed. In the present study, we replicate and extend the previous findings by examining the brain responses to error trials as well as examine the activity of these two systems' response to feedback processing. The results confirmed the role of these two systems in learning but they also provide a more complex view of their makeup and function. The frontal system includes ventral (inferior frontal gyrus, ventral anterior cingulate cortex, anterior temporal lobe) corticolimbic structures that are involved early in learning whereas the posterior system includes dorsal (anterior and posterior cingulate and medial temporal lobe) corticolimbic circuits that are engaged later in learning. Importantly, the engagement of each system during the course of learning is dependent on the nature of the events within the learning task.

摘要

随着学习的推进,人类和动物研究表明,额叶执行系统在学习早期深度参与,而后部监测与控制系统则在学习过程中逐渐上线。在先前的一项研究中,我们采用密集阵列脑电图方法,来描绘这两个系统在人类参与者通过试错学习将手动反应与任意数字代码建立关联时的参与情况。结果总体上与双系统学习模型一致,表明随着学习的推进,这两个系统都很重要。在本研究中,我们通过检查对错误试验的大脑反应来重复并扩展先前的发现,同时也研究这两个系统对反馈处理的反应活动。结果证实了这两个系统在学习中的作用,但也为它们的组成和功能提供了更复杂的观点。额叶系统包括腹侧(额下回、腹侧前扣带回皮质、颞叶前部)皮质边缘结构,这些结构在学习早期参与其中,而后部系统包括背侧(前扣带回和后扣带回以及内侧颞叶)皮质边缘回路,它们在学习后期参与进来。重要的是,每个系统在学习过程中的参与取决于学习任务中事件的性质。