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A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex

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Fuhs, Mark C., Touretzky, David S.·2006·The Journal of Neuroscience

Abstract

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.

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Metadata

Authors
Fuhs, M. C., & Touretzky, D. S.
Venue
The Journal of 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

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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
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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

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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.