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Attractor Dynamics of Spatially Correlated Neural Activity in the Limbic System
Open accessAbstract
Attractor networks are a popular computational construct used to model different brain systems. These networks allow elegant computations that are thought to represent a number of aspects of brain function. Although there is good reason to believe that the brain displays attractor dynamics, it has proven difficult to test experimentally whether any particular attractor architecture resides in any particular brain circuit. We review models and experimental evidence for three systems in the rat brain that are presumed to be components of the rat's navigational and memory system. Head-direction cells have been modeled as a ring attractor, grid cells as a plane attractor, and place cells both as a plane attractor and as a point attractor. Whereas the models have proven to be extremely useful conceptual tools, the experimental evidence in their favor, although intriguing, is still mostly circumstantial.
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Metadata
- Authors
- Knierim, J. J., & Zhang, K.
- Affiliations
- Johns Hopkins University (US)
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2012-07-21
- Volume
- 35
- Issue
- 1
- Pages
- 267-285
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC5613981
- OpenAlex
- W2164012213
- Cited by
- 222
- References
- 130
- Citations by year
- 2026: 6 · 2025: 22 · 2024: 16 · 2023: 21 · 2022: 10 · 2021: 20 · 2020: 20 · 2019: 32 · 2018: 13 · 2017: 19 · 2016: 12 · 2015: 13 · 2014: 14 · 2013: 3 · 2012: 1
- FWCI
- 0.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH079511, MH079511)
- National Institute of Neurological Disorders and Stroke (R01NS039456, NS-039456)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Keywords
- attractor dynamics, attractor networks, limbic system, head direction cells, grid cells, place cells, ring attractor, point attractors, spatial navigation, memory, rat brain
- MeSH terms
- Animals, Brain, Limbic System, Models, Neurological, Neural Networks, Computer, Nonlinear Dynamics
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 ›
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