The DOI matches its Crossref record; 129 of the 130 references it cites were found in a registry or an index.
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.
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
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
Hopfield, J. J. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.10.3088 · Cited by 6,918
“Neural” computation of decisions in optimization problems
Hopfield, J. J., & Tank, D. W. (1985) · Biological Cybernetics · doi:10.1007/bf00339943 · Cited by 6,037
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
Simple memory: a theory for archicortex
Marr, D. (1971) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1971.0078 · Cited by 2,771
Cohen, M. A., & Grossberg, S. (1983) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/tsmc.1983.6313075 · Cited by 2,545
Amit, D. J. (1989) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623257 · Cited by 2,261
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
Flagged first, then by citations
1 of the 130 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Blair HT, 1996, Adv. Neural. Inf. Process. Sys., 8, 152
- 10.1088/0954-898X/7/4/004 · DOI · Paper page
- Skaggs WE, 1995, Adv. Neural Inf. Process. Syst., 7, 173
- 10.1080/net.13.2.217.242 · DOI
Cited by
Sorted by citations
Neural dynamics for landmark orientation and angular path integration
Seelig, J. D., & Jayaraman, V. (2015) · Nature · doi:10.1038/nature14446 · Cited by 718
Ring attractor dynamics in the Drosophila central brain
Kim, S. S., Rouault, H., Druckmann, S., & Jayaraman, V. (2017) · Science · doi:10.1126/science.aal4835 · Cited by 417
Functions and dysfunctions of adult hippocampal neurogenesis
Christian, K. M., Song, H., & Ming, G.-L. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014134 · Cited by 362
Hulse, B. K., Haberkern, H., Franconville, R., Turner-Evans, D., Takemura, S.-Y., Wolff, T., Noorman, M., Dreher, M., Dan, C., Parekh, R., et al. (2021) · eLife · doi:10.7554/elife.66039 · Cited by 392
Buzsáki, G. (2019) · doi:10.1093/oso/9780190905385.001.0001 · Cited by 383
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 ›
Are you an author, or do you see a problem with this page? Request a review
