Back

CA1 Engram Cell Dynamics Before and After Learning

Monasterio, A.; Lienkaemper, C.; Coello, S.; Ocker, G. K.; Ramirez, S.; Scott, B. B.

2025-09-03 neuroscience
10.1101/2024.04.16.589790 bioRxiv
Show abstract

A fundamental question in neuroscience is how memory formation shapes brain activity at the level of neuronal populations. Recent studies of hippocampal engram cells--neurons identified by learning-induced immediate early gene (IEG) expression--propose that these populations form the cellular substrate for memory. Previous experimental work suggests that cells are recruited into engrams via elevated intrinsic excitability and that learning drives coactivity among these cells to support retrieval. Despite this, an understanding of how engram dynamics evolve across learning and recall remains incomplete. Here, we combined activity-dependent genetic tagging with longitudinal two-photon calcium imaging to track CA1 engram population dynamics before and after fear conditioning. Our results reveal that engram activity is modulated by intrinsic dynamics, behavioral state, and stimulus-cued reactivation. First, spontaneous activity during quiet rest-up to two days before Fos expression-predicted future engram membership, consistent with the idea that intrinsic dynamics bias engram allocation. In parallel, we found sequential activity during locomotion recruited both engram and non-engram cells, but that engram cells were less modulated by velocity after contextual fear conditioning. Surprisingly, after fear conditioning, we didnt find changes in the average spontaneous activity rates or correlations of CA1 engram cells. However, within the engram population, we identified a subset of cells that increased their spontaneous correlations after fear learning, specifically during quiet rest. Furthermore, we used a trace fear conditioning paradigm to show that CS presentation drove elevated activity and increased correlations amongst engram cells, demonstrating learning-dependent reactivation. Finally, computational modeling of CA3-CA1 circuit dynamics demonstrated that a network with strong excitatory-inhibitory balance, capable of CA3-driven reactivation, is consistent with our experimental results. Together, these results show that memory formation reshapes engram population dynamics across spontaneous states, behavior, and recall.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.