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Emerging many-to-one weighted mapping in hippocampus-amygdala network underlies memory formation
Journal article   Open access   Peer reviewed

Emerging many-to-one weighted mapping in hippocampus-amygdala network underlies memory formation

Jun Liu, Arron F Hall and Dong V Wang
Nature communications, v 15(1), 9248
26 Oct 2024
PMID: 39461946
url
https://doi.org/10.1038/s41467-024-53665-9View
Published, Version of Record (VoR) Open

Abstract

Action Potentials - physiology Amygdala - diagnostic imaging Amygdala - physiology Animals Basolateral Nuclear Complex - physiology CA1 Region, Hippocampal - physiology Hippocampus - physiology Male Memory - physiology Memory Consolidation - physiology Mice Mice, Inbred C57BL Nerve Net - physiology Neurons - physiology Machine Learning
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.

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