The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex
Open accessAbstract
Electrophysiological recording studies in the dorsocaudal region of medial entorhinal cortex (dMEC) of the rat reveal cells whose spatial firing fields show a remarkably regular hexagonal grid pattern (Fyhn et al., 2004; Hafting et al., 2005). We describe a symmetric, locally connected neural network, or spin glass model, that spontaneously produces a hexagonal grid of activity bumps on a two-dimensional sheet of units. The spatial firing fields of the simulated cells closely resemble those of dMEC cells. A collection of grids with different scales and/or orientations forms a basis set for encoding position. Simulations show that the animal’s location can easily be determined from the population activity pattern. Introducing an asymmetry in the model allows the activity bumps to be shifted in any direction, at a rate proportional to velocity, to achieve path integration. Furthermore, information about the structure of the environment can be superimposed on the spatial position signal by modulation of the bump activity levels without significantly interfering with the hexagonal periodicity of firing fields. Our results support the conjecture of Hafting et al. (2005) that an attractor network in dMEC may be the source of path integration information afferent to hippocampus.
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
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Hopfield, J. J. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.10.3088 · Cited by 6,918
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
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896
Taube, J., Muller, R., & Ranck, J. (1990) · The Journal of Neuroscience · doi:10.1523/jneurosci.10-02-00420.1990 · Cited by 1,809
Path integration and cognitive mapping in a continuous attractor neural network model
Samsonovich, A., & McNaughton, B. L. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05900.1997 · Cited by 989
Etienne, A. S., & Jeffery, K. J. (2004) · Hippocampus · doi:10.1002/hipo.10173 · Cited by 726
Place cells and place recognition maintained by direct entorhinal-hippocampal circuitry
Brun, V. H., Otnæss, M. K., Molden, S., Steffenach, H.-A., Witter, M. P., Moser, M.-B., & Moser, E. I. (2002) · Science · doi:10.1126/science.1071089 · Cited by 606
Long-term plasticity in hippocampal place-cell representation of environmental geometry
Lever, C., Wills, T., Cacucci, F., Burgess, N., & O'Keefe, J. (2002) · Nature · doi:10.1038/416090a · Cited by 465
A coupled attractor model of the rodent head direction system
Redish, A. D., Elga, A. N., & Touretzky, D. S. (1996) · Network: Computation in Neural Systems · doi:10.1088/0954-898x_7_4_004 · Cited by 344
Self-citation
Cited by
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
Place Cells, Grid Cells, and the Brain's Spatial Representation System
Moser, E. I., Kropff, E., & Moser, M.-B. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.061307.090723 · Cited by 1,934
Functional organization of the hippocampal longitudinal axis
Strange, B. A., Witter, M. P., Lein, E. S., & Moser, E. I. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3785 · Cited by 1,738
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
Accurate Path Integration in Continuous Attractor Network Models of Grid Cells
Burak, Y., & Fiete, I. R. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000291 · Cited by 779
Metadata
- Authors
- Fuhs, M. C., & Touretzky, D. S.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2006-04-19
- Volume
- 26
- Issue
- 16
- Pages
- 4266-4276
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2107852368
- Cited by
- 633
- References
- 10
- FWCI
- 12.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex. https://app.cochat.ai/papers/10.1523/jneurosci.4353-05.2006
- The paper
- Fuhs, M. C., & Touretzky, D. S. (2006). A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.4353-05.2006
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.