The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Differential influences of environment and self-motion on place and grid cell firing
Open accessAbstract
Place and grid cells in the hippocampal formation provide foundational representations of environmental location, and potentially of locations within conceptual spaces. Some accounts predict that environmental sensory information and self-motion are encoded in complementary representations, while other models suggest that both features combine to produce a single coherent representation. Here, we use virtual reality to dissociate visual environmental from physical motion inputs, while recording place and grid cells in mice navigating virtual open arenas. Place cell firing patterns predominantly reflect visual inputs, while grid cell activity reflects a greater influence of physical motion. Thus, even when recorded simultaneously, place and grid cell firing patterns differentially reflect environmental information (or ‘states’) and physical self-motion (or ‘transitions’), and need not be mutually coherent.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151
Microstructure of a spatial map in the entorhinal cortex
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., & Moser, E. I. (2005) · Nature · doi:10.1038/nature03721 · Cited by 4,068
Path integration and the neural basis of the 'cognitive map'
McNaughton, B. L., Battaglia, F. P., Jensen, O., Moser, E. I., & Moser, M.-B. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1932 · Cited by 2,024
The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells
Muller, R., & Kubie, J. (1987) · The Journal of Neuroscience · doi:10.1523/jneurosci.07-07-01951.1987 · Cited by 1,581
Conjunctive Representation of Position, Direction, and Velocity in Entorhinal Cortex
Sargolini, F., Fyhn, M., Hafting, T., McNaughton, B. L., Witter, M. P., Moser, M.-B., & Moser, E. I. (2006) · Science · doi:10.1126/science.1125572 · Cited by 1,485
Geometric determinants of the place fields of hippocampal neurons
O'Keefe, J., & Burgess, N. (1996) · Nature · doi:10.1038/381425a0 · Cited by 1,166
Self-citationMcNaughton, B. L., Barnes, C. A., & O'Keefe, J. (1983) · Experimental Brain Research · doi:10.1007/bf00237147 · Cited by 1,071
The hippocampus as a predictive map
Stachenfeld, K. L., Botvinick, M. M., & Gershman, S. J. (2017) · Nature Neuroscience · doi:10.1038/nn.4650 · Cited by 1,000
Organizing conceptual knowledge in humans with a gridlike code
Constantinescu, A. O., O’Reilly, J. X., & Behrens, T. E. J. (2016) · Science · doi:10.1126/science.aaf0941 · Cited by 937
Evidence for grid cells in a human memory network
Doeller, C. F., Barry, C., & Burgess, N. (2010) · Nature · doi:10.1038/nature08704 · Cited by 828
Self-citation
Cited by
Engineering precision nanoparticles for drug delivery
Mitchell, M. J., Billingsley, M. M., Haley, R. M., Wechsler, M. E., Peppas, N. A., & Langer, R. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0090-8 · Cited by 7,933
Whittington, J. C. R., Muller, T. H., Mark, S., Chen, G., Barry, C., Burgess, N., & Behrens, T. E. J. (2020) · Cell · doi:10.1016/j.cell.2020.10.024 · Cited by 660
Self-citationAbout metastable cellular structure in additively manufactured austenitic stainless steels
Kong, D., Dong, C., Wei, S., Ni, X., Zhang, L., Li, R., Wang, L., Man, C., & Li, X. (2021) · Additive Manufacturing · doi:10.1016/j.addma.2020.101804 · Cited by 528
Chiral covalent organic frameworks: design, synthesis and property
Han, X., Yuan, C., Hou, B., Liu, L., Li, H., Liu, Y., & Cui, Y. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00009d · Cited by 478
A large-scale genome-wide association study meta-analysis of cannabis use disorder
Johnson, E. C., Demontis, D., Thorgeirsson, T. E., Walters, R. K., Polimanti, R., Hatoum, A. S., Sanchez-Roige, S., Paul, S. E., Wendt, F. R., Clarke, T.-K., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30339-4 · Cited by 339
Metadata
- Authors
- Chen, G., Lu, Y., King, J. A., Cacucci, F., & Burgess, N.
- Venue
- Nature Communications
- Published
- 2019-02-07
- Volume
- 10
- Issue
- 1
- Pages
- 630-630
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2911805374
- Cited by
- 585
- References
- 41
- FWCI
- 75.71
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Differential influences of environment and self-motion on place and grid cell firing. https://app.cochat.ai/papers/10.1038/s41467-019-08550-1
- The paper
- Chen, G., Lu, Y., King, J. A., Cacucci, F., & Burgess, N. (2019). Differential influences of environment and self-motion on place and grid cell firing. Nature Communications. https://doi.org/10.1038/s41467-019-08550-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.