Stellate cells in the medial entorhinal cortex are required for spatial learning
Open accessAbstract
Spatial learning requires estimates of location that may be obtained by path integration or from positional cues. Grid and other spatial firing patterns of neurons in the superficial medial entorhinal cortex (MEC) suggest roles in behavioral estimation of location. However, distinguishing the contributions of path integration and cue-based signals to spatial behaviors is challenging, and the roles of identified MEC neurons are unclear. We use virtual reality to dissociate linear path integration from other strategies for behavioral estimation of location. We find that mice learn to path integrate using motor-related self-motion signals, with accuracy that decreases steeply as a function of distance. We show that inactivation of stellate cells in superficial MEC impairs spatial learning in virtual reality and in a real world object location recognition task. Our results quantify contributions of path integration to behavior and corroborate key predictions of models in which stellate cells contribute to location estimation.
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Inactivation of the superficial layers of MEC stellate cells impaired memory for OPP, but not NOP, in mice.
“For example, inactivation of the superficial layers of MEC stellate cells impaired memory for OPP, but not NOP, in mice (Tennant et al., 2018).”
From The medial prefrontal cortex - hippocampus circuit that integrates information of object, place and time to construct episodic memory in rodents: Behavioral, anatomical and neurochemical properties (2020) · cites this paper as Tennant et al., 2018
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Grid cells encode local head directionPreprint
Gerlei, K. Z., Passlack, J., Hawes, I., Vandrey, B., Stevens, H., Papastathopoulos, I., & Nolan, M. F. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/681312 · Cited by 3 · see citing works
Spatial representation by ramping activity of neurons in the retrohippocampal cortexPreprint
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How do ramping dynamics influence computations in the entorhinal cortex?
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The entorhinal spatial map integrates visual identity information of landmarks
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Object-translocation induces event coding in the rat hippocampus
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- Authors
- Tennant, S. A., Fischer, L., Garden, D. L. F., Gerlei, K. Z., Martinez-Gonzalez, C., McClure, C., Wood, E. R., & Nolan, M. F.
- Affiliations
- University of Edinburgh (GB)
- Corresponding author
- Nolan, Matthew F.
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 22
- Issue
- 5
- Pages
- 1313-1324
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC5809635
- OpenAlex
- W2783790305
- Cited by
- 71
- References
- 64
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 8 · 2023: 10 · 2022: 9 · 2021: 7 · 2020: 12 · 2019: 7 · 2018: 6
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- Biotechnology and Biological Sciences Research Council (BB/L010496/1, BB/M010996/1)
- Wellcome Trust (200855/Z/16/Z, WT093295MA)
- 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
- stellate cells, medial entorhinal cortex, spatial learning, path integration, self-motion signals, spatial firing patterns, grid cells, location estimation, virtual reality, neural inactivation, mice
- MeSH terms
- Animals, Neurons, Entorhinal Cortex, Mice, Spatial Learning
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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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