Sublayer-Specific Coding Dynamics during Spatial Navigation and Learning in Hippocampal Area CA1
Open accessAbstract
The mammalian hippocampus is critical for spatial information processing and episodic memory. Its primary output cells, CA1 pyramidal cells (CA1 PCs), vary in genetics, morphology, connectivity, and electrophysiological properties. It is therefore possible that distinct CA1 PC subpopulations encode different features of the environment and differentially contribute to learning. To test this hypothesis, we optically monitored activity in deep and superficial CA1 PCs segregated along the radial axis of the mouse hippocampus and assessed the relationship between sublayer dynamics and learning. Superficial place maps were more stable than deep during head-fixed exploration. Deep maps, however, were preferentially stabilized during goal-oriented learning, and representation of the reward zone by deep cells predicted task performance. These findings demonstrate that superficial CA1 PCs provide a more stable map of an environment, while their counterparts in the deep sublayer provide a more flexible representation that is shaped by learning about salient features in the environment. VIDEO ABSTRACT.
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Place fields uniformly tiled the available space, with a slight over-representation of the reward's position and of prominent tactile cues on the belt.
“Place fields uniformly tiled the available space (Fig. 1c), with a slight over-representation of the reward’s position and of prominent tactile cues on the belt (see also refs. 39–41).”
From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [39]
The Results section, “Deep CA1 PCs predict performance on the goal-oriented learning task” (page unavailable), reports reward-zone over-representation, supporting the reward part of the cited clause. The “Contexts” section describes tactile cues on the belt, but the paper does not report over-representation of place fields at those cues. Its reference to a nearly uniform distribution concerns shifts in field centroids during remapping, not uniform tiling of the available space. (LLM, conf=0.86)
Experimental — accuracy not yet measuredRunning along the treadmill reliably engaged the hippocampal place representation, with 340 out of 520 putative principal neurons classified as place cells.
“Consistent with previous work37–39, running along the treadmill reliably engaged the hippocampal place representation, with the large majority of putative principal neurons (340 out of 520) being classified as place cells (see Methods).”
From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [39]
In Results, under “Deep CA1 PCs are a highly active place coding population” (page unavailable), the paper reports identifying place cells among CA1 principal cells; another Results section describes mice running on a treadmill. Our copy does not report 340 of 520 neurons as place cells, so it supports the general treadmill place-coding point but not the attributed count. (LLM, conf=0.88)
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“Consistent with previous work 37 – 39 , running along the treadmill reliably engaged the hippocampal place representation, with the large majority of putativeprincipal neurons (340 out of 520) beingclassi fi ed as place cells (see Methods).”
- Authors
- Danielson, N. B., Zaremba, J. D., Kaifosh, P., Bowler, J., Ladow, M., & Losonczy, A.
- Affiliations
- Columbia University (US)
- Mortimer B. Zuckerman Mind Brain Behavior Institute (US)
- Corresponding author
- Danielson, Nathan B.
- Losonczy, Attila
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 91
- Issue
- 3
- Pages
- 652-665
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4975984
- OpenAlex
- W2465397039
- Cited by
- 288
- References
- 94
- Citations by year
- 2026: 20 · 2025: 30 · 2024: 28 · 2023: 27 · 2022: 29 · 2021: 35 · 2020: 31 · 2019: 17 · 2018: 40 · 2017: 25 · 2016: 5
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (F31MH105169, R01MH100631)
- National Institute of Neurological Disorders and Stroke (U01NS090583, R01NS094668, F30NS090819)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- hippocampal CA1, pyramidal neurons, spatial navigation, goal-directed learning, mouse hippocampus, episodic memory
- MeSH terms
- Action Potentials, Animals, Female, Learning, Male, Reward, Pyramidal Cells, Mice, CA1 Region, Hippocampal, Spatial Navigation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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