The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A MODEL OF GRID CELLS BASED ON A TWISTED TORUS TOPOLOGY
Abstract
The grid cells of the rat medial entorhinal cortex (MEC) show an increased firing frequency when the position of the animal correlates with multiple regions of the environment that are arranged in regular triangular grids. Here, we describe an artificial neural network based on a twisted torus topology, which allows for the generation of regular triangular grids. The association of the activity of pre-defined hippocampal place cells with entorhinal grid cells allows for a highly robust-to-noise calibration mechanism, suggesting a role for the hippocampal back-projections to the entorhinal cortex.
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Citations
Cites
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
Simplified neuron model as a principal component analyzer
Oja, E. (1982) · Journal of Mathematical Biology · doi:10.1007/bf00275687 · Cited by 2,309
Geometric determinants of the place fields of hippocampal neurons
O'Keefe, J., & Burgess, N. (1996) · Nature · doi:10.1038/381425a0 · Cited by 1,166
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
Cited by
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
Toroidal topology of population activity in grid cells
Gardner, R. J., Hermansen, E., Pachitariu, M., Burak, Y., Baas, N. A., Dunn, B. A., Moser, M.-B., & Moser, E. I. (2022) · Nature · doi:10.1038/s41586-021-04268-7 · Cited by 428
A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex
Hardcastle, K., Maheswaranathan, N., Ganguli, S., & Giocomo, L. M. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.025 · Cited by 312
Grid cells and cortical representation
Moser, E. I., Roudi, Y., Witter, M. P., Kentros, C., Bonhoeffer, T., & Moser, M.-B. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3766 · Cited by 335
Specific evidence of low-dimensional continuous attractor dynamics in grid cells
Yoon, K., Buice, M. A., Barry, C., Hayman, R., Burgess, N., & Fiete, I. R. (2013) · Nature Neuroscience · doi:10.1038/nn.3450 · Cited by 296
Metadata
- Authors
- GUANELLA, A., KIPER, D., & VERSCHURE, P.
- Venue
- International Journal of Neural Systems
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2007-08
- Volume
- 17
- Issue
- 04
- Pages
- 231-240
- ISSN
- 0129-0657 (ISSN-L)
- 1793-6462
- OpenAlex
- W2006890787
- Cited by
- 221
- References
- 4
- FWCI
- 1.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- GUANELLA, A., KIPER, D., & VERSCHURE, P. (2007). A MODEL OF GRID CELLS BASED ON A TWISTED TORUS TOPOLOGY. International Journal of Neural Systems. https://doi.org/10.1142/s0129065707001093
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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.
