EEG-based real-time monitoring and intervention of human memory

我们的生活取决于我们编码新信息的能力，以便使我们的行为适应不断变化的环境。尽管我们的长期记忆(LTM)允许我们编码和存储几乎无限数量的信息，但我们将新信息编码为长期记忆的能力不仅因个人而异，而且在个体内部的不同时刻也不同。有没有办法实时监测记忆编码能力的这种波动？如果是这样的话，我们能否利用这些信息来提高记忆编码的效果和效率？最近，我展示了我们可以实时监测这种波动，并根据学习过程中记录的脑电(EEGs)使学习更有效率。在这项提议中，我将通过追求以下三个目标来进一步推进这一新颖而有效的方法。首先，我将考察记忆编码的自愿控制的性质及其副作用。其次，我将基于脑电的记忆监测和干预推广到各种学习。第三，我将完善基于脑电的记忆监测和干预，最大限度地发挥学习的效益。这些研究不仅有助于记忆控制和记忆编码的理论研究，而且为基于脑电信号的记忆监测和干预在现实生活中的应用提供了广泛的可能性。

Our life hinges on our ability to encode new information in order to adapt our behavior to an ever changing environment. Although our long-term memory (LTM) allows us to encode and store a virtually infinite amount of information, our ability to encode new information into long-term memory varies not only across individuals but also from moment to moment within individuals. Is there any way to monitor this fluctuation of memory encoding ability in real time? And if so, could we utilize this information to increase the efficacy and efficiency of memory encoding? Recently, I have demonstrated that we can monitor this fluctuation in real time and make learning more efficient based on electroencephalograms (EEGs) recorded during learning. In this proposal, I will further advance this novel and impactful approach by pursuing the following three goals. First, I will examine the nature of voluntary control on memory encoding and its side effects. Second, I will generalize the EEG-based memory monitoring and intervention to various kinds of learning. Third, I will refine the EEG-based memory monitoring and intervention to maximize the benefit in learning. These studies will not only contribute to the theories of memory control and memory encoding but also lead to a wide range of possibilities for real-life applications of EEG-based memory monitoring and intervention.