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引用次数: 0
摘要
记忆对日常生活至关重要,但管理经验神经表征的网络级组织原则仍然未知。通过在行为自由的雄性小鼠体内进行双部位记录,我们在此发现海马背侧 CA1(dCA1)和杏仁基底外侧(BLA)对新经验采用了不同的编码策略。一小部分 BLA 神经元在记忆获得过程中表现活跃,并在巩固过程中持续存在,而大多数 dCA1 神经元在这两个过程中都表现活跃。机器学习解码显示,dCA1 群体的尖峰预测了 BLA 集合的发射率,这表明大多数 dCA1 神经元通过与特定 BLA 集合快速建立加权通信来同时索引记忆事件--我们将这一过程称为 "多对一加权映射"。我们还发现,在拉长和扩大的 dCA1 波纹中,dCA1 再激活先于 BLA 集合活动。利用闭环策略,我们证明了在大型 dCA1 波纹之后抑制 BLA 活动会损害记忆。这些发现凸显了一种多对一加权映射机制,它是新记忆获得和巩固的基础。
Emerging many-to-one weighted mapping in hippocampus-amygdala network underlies memory formation
Memories are crucial for daily life, yet the network-level organizing principles governing neural representations of experiences remain unknown. Employing dual-site in vivo recording in freely behaving male mice, here we show that hippocampal dorsal CA1 (dCA1) and basolateral amygdala (BLA) utilize distinct coding strategies for novel experiences. A small assembly of BLA neurons emerged active during memory acquisition and persisted through consolidation, whereas most dCA1 neurons were engaged in both processes. Machine learning decoding revealed that dCA1 population spikes predicted BLA assembly firing rate, suggesting that most dCA1 neurons concurrently index an episodic event by rapidly establishing weighted communication with a specific BLA assembly – a process we term “many-to-one weighted mapping.” We also found that dCA1 reactivations preceded BLA assembly activity preferably during elongated and enlarged dCA1 ripples. Using a closed-loop strategy, we demonstrated that suppressing BLA activity after large dCA1 ripples impaired memory. These findings highlight a many-to-one weighted mapping mechanism underlying both the acquisition and consolidation of new memories.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.