Tianzi Jiang Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.
Cereb Cortex. 2024 Jun 4;34(6). doi: 10.1093/cercor/bhae244.
Despite the well-established phenomenon of improved memory performance through repeated learning, studies investigating the associated neural mechanisms have yielded complex and sometimes contradictory findings, and direct evidence from human neuronal recordings has been lacking. This study employs single-neuron recordings with exceptional spatial-temporal resolution, combined with representational similarity analysis, to explore the neural dynamics within the hippocampus and amygdala during repeated learning. Our results demonstrate that in the hippocampus, repetition enhances both representational specificity and fidelity, with these features predicting learning times. Conversely, the amygdala exhibits heightened representational specificity and fidelity during initial learning but does not show improvement with repetition, suggesting functional specialization of the hippocampus and amygdala during different stages of the learning repetition. Specifically, the hippocampus appears to contribute to sustained engagement necessary for benefiting from repeated learning, while the amygdala may play a role in the representation of novel items. These findings contribute to a comprehensive understanding of the intricate interplay between these brain regions in memory processes. Significance statement For over a century, understanding how repetition contributes to memory enhancement has captivated researchers, yet direct neuronal evidence has been lacking, with a primary focus on the hippocampus and a neglect of the neighboring amygdala. Employing advanced single-neuron recordings and analytical techniques, this study unveils a nuanced functional specialization within the amygdala-hippocampal circuit during various learning repetition. The results highlight the hippocampus's role in sustaining engagement for improved memory with repetition, contrasting with the amygdala's superior ability in representing novel items. This exploration not only deepens our comprehension of memory enhancement intricacies but also sheds light on potential interventions to optimize learning and memory processes.
尽管通过重复学习来提高记忆表现已经是一个被广泛证实的现象,但研究相关的神经机制却产生了复杂且有时相互矛盾的发现,并且缺乏来自人类神经元记录的直接证据。本研究采用具有卓越时空分辨率的单个神经元记录,结合表示相似性分析,来探索海马体和杏仁核在重复学习过程中的神经动态。我们的结果表明,在海马体中,重复增强了表示的特异性和保真度,这些特征可以预测学习时间。相反,杏仁核在初始学习期间表现出更高的表示特异性和保真度,但随着重复学习并没有得到改善,这表明海马体和杏仁核在学习重复的不同阶段具有功能专业化。具体来说,海马体似乎有助于从重复学习中受益所需的持续参与,而杏仁核可能在新物品的表示中发挥作用。这些发现有助于全面理解这些脑区在记忆过程中的复杂相互作用。