Error-driven upregulation of memory representations.

Alexander Weuthen, Hans Kirschner, Markus Ullsperger
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Abstract

Learning an association does not always succeed on the first attempt. Previous studies associated increased error signals in posterior medial frontal cortex with improved memory formation. However, the neurophysiological mechanisms that facilitate post-error learning remain poorly understood. To address this gap, participants performed a feedback-based association learning task and a 1-back localizer task. Increased hemodynamic responses in posterior medial frontal cortex were found for internal and external origins of memory error evidence, and during post-error encoding success as quantified by subsequent recall of face-associated memories. A localizer-based machine learning model displayed a network of cognitive control regions, including posterior medial frontal and dorsolateral prefrontal cortices, whose activity was related to face-processing evidence in the fusiform face area. Representation strength was higher during failed recall and increased during encoding when subsequent recall succeeded. These data enhance our understanding of the neurophysiological mechanisms of adaptive learning by linking the need for learning with increased processing of the relevant stimulus category.

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错误驱动的记忆表征上调。
学习一种联想并不总是在第一次尝试时就成功。先前的研究将后内侧额叶皮层错误信号的增加与记忆形成的改善联系起来。然而,促进错误后学习的神经生理机制仍然知之甚少。为了解决这一差距,参与者执行了基于反馈的联想学习任务和1-back本地化任务。在记忆错误证据的内部和外部来源中,后内侧额叶皮层的血流动力学反应增加,在错误后编码成功期间,通过随后的面部相关记忆的回忆来量化。基于定位器的机器学习模型显示了认知控制区域网络,包括额叶后内侧和背外侧前额皮质,其活动与梭状回面部区域的面部处理证据相关。表征强度在失败回忆时较高,在后续回忆成功的编码过程中增强。这些数据通过将学习需求与相关刺激类别加工的增加联系起来,增强了我们对适应性学习的神经生理机制的理解。
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