A Dedicated Population for Reward Coding in the Hippocampus
Open accessAbstract
The hippocampus plays a critical role in goal-directed navigation. Across different environments, however, hippocampal maps are randomized, making it unclear how goal locations could be encoded consistently. To address this question, we developed a virtual reality task with shifting reward contingencies to distinguish place versus reward encoding. In mice performing the task, large-scale recordings in CA1 and subiculum revealed a small, specialized cell population that was only active near reward yet whose activity could not be explained by sensory cues or stereotyped reward anticipation behavior. Across different virtual environments, most cells remapped randomly, but reward encoding consistently arose from a single pool of cells, suggesting that they formed a dedicated channel for reward. These observations represent a significant departure from the current understanding of CA1 as a relatively homogeneous ensemble without fixed coding properties and provide a new candidate for the cellular basis of goal memory in the hippocampus.
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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 [40]
The Results (Moving Reward Location Within One Environment; page unavailable) report approximately uniform spatial-field density across most of the track, with excess density near reward. They do not report over-representation at tactile cues on a belt; the Methods describe visual textures and towers along a virtual track instead. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe criteria used for PC identification are similar to those in the existing literature in both mammals and birds, for both electrophysiological and calcium imaging data.
“The criteria we use are similar to those in the existing literature in both mammals and birds, for both electrophysiological and calcium imaging data16,53.”
From A population code for spatial representation in the zebrafish telencephalon (2024) · cites this paper as [53]
In STAR★METHODS, Quantification and Statistical Analysis (page unavailable), the paper gives criteria for identifying spatially modulated cells and place cells from calcium-imaging data in mice. It does not compare those criteria with criteria used in birds or establish their similarity to electrophysiological criteria. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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- Authors
- Gauthier, J. L., & Tank, D. W.
- Affiliations
- Princeton University (US)
- Corresponding author
- Gauthier, Jeffrey L.
- Tank, David W.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 99
- Issue
- 1
- Pages
- 179-193.e7
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC7023678
- OpenAlex
- W2811470308
- Cited by
- 394
- References
- 68
- Citations by year
- 2026: 44 · 2025: 50 · 2024: 62 · 2023: 50 · 2022: 49 · 2021: 51 · 2020: 42 · 2019: 31 · 2018: 15
- FWCI
- 20.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH NRSA (1F32NS077840-01A1)
- NIH NIMH (R01 2R01MH083686-06)
- NIH (R37NS081242-06)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- reward coding, hippocampus, CA1, subiculum, place cells, goal-directed navigation, virtual reality navigation, reward anticipation
- MeSH terms
- Virtual Reality, Animals, Hippocampus, Motivation, Neurons, Reward, Task Performance and Analysis, Mice, CA1 Region, Hippocampal, Optical Imaging, Spatial Navigation
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