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Fast Learning of Simple Perceptual Discriminations Reduces Brain Activation in Working Memory and in High-level Auditory Regions

机译:简单感知区分的快速学习减少了工作记忆和高级听觉区域的大脑激活

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Introducing simple stimulus regularities facilitates learning of both simple and complex tasks. This facilitation may reflect an implicit change in the strategies used to solve the task when successful predictions regarding incoming stimuli can be formed. We studied the modifications in brain activity associated with fast perceptual learning based on regularity detection. We administered a two-tone frequency discrimination task and measured brain activation (fMRI) under two conditions: with and without a repeated reference tone. Although participants could not explicitly tell the difference between these two conditions, the introduced regularity affected both performance and the pattern of brain activation. The “No-Reference” condition induced a larger activation in frontoparietal areas known to be part of the working memory network. However, only the condition with a reference showed fast learning, which was accompanied by a reduction of activity in two regions: the left intraparietal area, involved in stimulus retention, and the posterior superior-temporal area, involved in representing auditory regularities. We propose that this joint reduction reflects a reduction in the need for online storage of the compared tones. We further suggest that this change reflects an implicit strategic shift “backwards” from reliance mainly on working memory networks in the “No-Reference” condition to increased reliance on detected regularities stored in high-level auditory networks.
机译:引入简单的刺激规律有助于学习简单和复杂的任务。当可以形成有关传入刺激的成功预测时,这种促进可能反映了用于解决任务的策略中的隐式变化。我们研究了基于规律性检测的与快速知觉学习相关的大脑活动的变化。我们执行了两个音调的频率区分任务,并在以下两种情况下测量了大脑的激活(fMRI):有和没有重复参考音。尽管参与者无法明确分辨出这两种情况之间的区别,但引入的规律性影响了表现和大脑激活模式。 “无参考”条件在已知为工作记忆网络一部分的额顶区域引起更大的激活。但是,只有有参考条件的患者才能表现出快速的学习能力,并伴有两个区域活动的减少:左侧壁内区域参与刺激保持,而后颞上区域参与代表听觉规律。我们建议这种联合减少反映了在线存储比较音调的需求减少了。我们进一步建议,这种变化反映了一种隐式的战略转变,即从主要依靠“无参考”条件下的工作记忆网络向“向后”转变,从而逐渐增加了对存储在高级听觉网络中的检测规律的依赖。

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