Previous Electroencephalography (EEG) and neuroimaging studies have found differences between brain signals for subsequently remembered and forgotten items during learning of items - it has even been shown that single trial prediction of memorization success is possible with a few target items. There has been little attempt, however, in validating the findings in an application-oriented context involving longer test spans with realistic learning materials encompassing more items. Hence, the present study investigates subsequent memory prediction within the application context of foreign-vocabulary learning. We employed an off-line, EEG-based paradigm in which Korean participants without prior German language experience learned 900 German words in paired-associate form. Our results using convolutional neural networks optimized for EEG-signal analysis show that above-chance classification is possible in this context allowing us to predict during learning which of the words would be successfully remembered later.

中文翻译：

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基于EEG的词汇学习过程中成功记忆形成的预测

先前的脑电图（EEG）和神经影像学研究发现，在学习项目期间，随后记住和遗忘的项目的大脑信号之间存在差异-甚至已经表明，只有几个目标项目才能对记忆成功进行单次试验预测。但是，几乎没有尝试在面向应用的环境中验证结果，这些应用涉及更长的测试跨度以及包含更多项目的实际学习材料。因此，本研究调查了在外语学习的应用环境下的后续记忆预测。我们采用了基于EEG的离线范例，在该范例中，没有德语经验的韩国参与者学习了900个配对配对形式的德语单词。