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The neural basis of judgments-of-learning.

机译:学习判断的神经基础。

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A critical aspect of learning is the ability to self-evaluate whether that learning was successful. Such judgments-of-learning (JOLs) are of particular interest because these processes can enhance the effectiveness of learning by guiding the allocation of resources at a time when information remains available for learning. JOL paradigms require participants to predict during encoding whether stimuli have been successfully learned (i.e., are likely to be remembered or forgotten in a later test of retention). Although research on JOLs has spanned the last three decades, little is known about the neural mechanisms underlying JOLs. Using functional magnetic resonance imaging (fMRI), the studies in this dissertation are the first to examine the neural basis of JOLs in healthy adults. The first study identified brain regions supporting JOLs (predictions of encoding success) and examined whether these regions are the same as or different from those supporting learning itself (actual encoding success). The results demonstrated that the ventromedial prefrontal cortex (VMPFC) supported predictions of encoding success but not actual encoding success. In contrast, the medial temporal lobes supported actual encoding success but not predicted encoding success. Furthermore, activations in VMPFC correlated with individual differences in the accuracy of JOLs, which points to the importance of VMPFC in JOL accuracy. The second study examined JOL strategies that differ in effectiveness to address the hypothesis that VMPFC supports accurate JOLs by integrating converging signals from subordinate neural systems. This study also explored behavioral and neural differences amongst individuals in their utilization of JOL strategies. We found that VMPFC activations varied with the effectiveness of JOL strategies. In addition, good predictors adaptively changed their JOL strategies and showed greater VMPFC activations than poor predictors. These studies are the first to explore the neural basis of JOLs and are part of a handful of studies that examined individual differences in JOL. Results from the present studies provide hypotheses that will motivate future cognitive and neuroscience research on JOLs, and have implications for research in neuroeconomics, affective neuroscience, developmental neuroscience, and neuropsychology.
机译:学习的一个关键方面是自我评估学习是否成功的能力。这种学习判断(JOL)特别令人感兴趣,因为这些过程可以在信息仍然可供学习时指导资源分配,从而提高学习效率。 JOL范式要求参与者在编码过程中预测是否已经成功学习了刺激(即在以后的保留测试中很可能被记住或忘记了)。尽管对JOL的研究已经跨越了过去的三十年,但是对于JOL背后的神经机制知之甚少。本文采用功能磁共振成像(fMRI)技术,首次探讨了健康成年人JOL的神经基础。第一项研究确定了支持JOL(编码成功的预测)的大脑区域,并检查了这些区域是否与支持学习本身的区域(实际编码成功)相同或不同。结果表明腹侧前额叶皮层(VMPFC)支持编码成功的预测,但不支持实际编码成功。相反,内侧颞叶支持实际编码成功,但不支持预测编码成功。此外,VMPFC的激活与JOL准确性的个体差异相关,这表明VMPFC在JOL准确性中的重要性。第二项研究检验了有效性不同的JOL策略,以解决VMPFC通过集成来自下级神经系统的收敛信号来支持准确的JOL的假设。这项研究还探讨了个人在使用JOL策略方面的行为和神经差异。我们发现VMPFC激活随JOL策略的有效性而变化。此外,良好的预测器会自适应地更改其JOL策略,并显示出比不良预测器更大的VMPFC激活。这些研究是第一个探索JOL的神经基础的研究,并且是少数研究JOL个体差异的研究的一部分。本研究的结果提供了一些假设,这些假设将激发未来对JOL的认知和神经科学研究,并对神经经济学,情感神经科学,发育神经科学和神经心理学的研究产生影响。

著录项

  • 作者

    Kao, Yun-Ching.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Biology Neuroscience.;Psychology Cognitive.;Psychology Psychobiology.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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