The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The existence of persistent states in the brain
Overview
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Citations
Cites
Statistical Theory of Equations of State and Phase Transitions. II. Lattice Gas and Ising Model
Lee, T. D., & Yang, C. N. (1952) · Physical Review · doi:10.1103/physrev.87.410 · Cited by 2,228
Statistics of the Two-Dimensional Ferromagnet. Part I
Kramers, H. A., & Wannier, G. H. (1941) · Physical Review · doi:10.1103/physrev.60.252 · Cited by 1,812
Action Potentials Recorded from Inside a Nerve Fibre
HODGKIN, A. L., & HUXLEY, A. F. (1939) · Nature · doi:10.1038/144710a0 · Cited by 679
L.R. (1963) · Nuclear Physics · doi:10.1016/0029-5582(63)90240-2 · Cited by 540
On the Theory of the Ising Model of Ferromagnetism
Newell, G. F., & Montroll, E. W. (1953) · Reviews of Modern Physics · doi:10.1103/revmodphys.25.353 · Cited by 477
The Propagation of Order in Crystal Lattices
Ashkin, J., & Lamb, W. E. (1943) · Physical Review · doi:10.1103/physrev.64.159 · Cited by 84
Lassettre, E. N., & Howe, J. P. (1941) · The Journal of Chemical Physics · doi:10.1063/1.1750835 · Cited by 80
Cited by
Computing with Neural Circuits: A Model
Hopfield, J. J., & Tank, D. W. (1986) · Science · doi:10.1126/science.3755256 · Cited by 2,116
The space of interactions in neural network models
Gardner, E. (1988) · Journal of Physics A: Mathematical and General · doi:10.1088/0305-4470/21/1/030 · Cited by 1,047
The capacity of the Hopfield associative memory
McEliece, R., Posner, E., Rodemich, E., & Venkatesh, S. (1987) · IEEE Transactions on Information Theory · doi:10.1109/tit.1987.1057328 · Cited by 910
Statistical mechanics of neural networks near saturation
Amit, D. J., Gutfreund, H., & Sompolinsky, H. (1987) · Annals of Physics · doi:10.1016/0003-4916(87)90092-3 · Cited by 849
Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations
Behler, J. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c1cp21668f · Cited by 781
Metadata
- Authors
- Little, W. A.
- Venue
- Mathematical Biosciences
- Publisher
- Elsevier BV
- Published
- 1974-02
- Volume
- 19
- Issue
- 1-2
- Pages
- 101-120
- ISSN
- 0025-5564 (ISSN-L)
- OpenAlex
- W4241400578
- Cited by
- 657
- References
- 7
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The existence of persistent states in the brain. https://app.cochat.ai/papers/10.1016/0025-5564(74)90031-5
- The paper
- Little, W. A. (1974). The existence of persistent states in the brain. Mathematical Biosciences. https://doi.org/10.1016/0025-5564(74)90031-5
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.
