The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Memory formation in matter
Open accessAbstract
Many forms of memory can be stored in the materials around us. Examples are hysteresis in magnets, aging and rejuvenation in glasses, shape memory in alloys, and echoes in spin systems and capillary waves. Once the material is fully equilibrated, memory of the system's initial conditions or previous history is completely lost. Memory is thus intimately connected to out-of-equilibrium behavior. This paper reviews examples where specific inputs can be stored in condensed-matter systems and then retrieved by appropriate protocols. It describes some common principles and questions that emerge from looking for the underlying shared elements in these apparently disparate systems.
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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
Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments
Carr, H. Y., & Purcell, E. M. (1954) · Physical Review · doi:10.1103/physrev.94.630 · Cited by 6,466
Introduction to the theory of neural computation
(1994) · Neural Networks · doi:10.1016/0893-6080(94)90014-0 · Cited by 6,401
Hahn, E. L. (1950) · Physical Review · doi:10.1103/physrev.80.580 · Cited by 5,085
Granular solids, liquids, and gases
Jaeger, H. M., Nagel, S. R., & Behringer, R. (1996) · Reviews of Modern Physics · doi:10.1103/revmodphys.68.1259 · Cited by 2,956
Self-citationModeling Brain Function: The World of Attractor Neural Networks
Amit, D. J. (1989) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623257 · Cited by 2,227
Light-induced shape-memory polymers
Lendlein, A., Jiang, H., Jünger, O., & Langer, R. (2005) · Nature · doi:10.1038/nature03496 · Cited by 2,006
�ber die magnetische Nachwirkung
Preisach, F. (1935) · Zeitschrift f�r Physik · doi:10.1007/bf01349418 · Cited by 1,989
Nonlinear dynamics and breakup of free-surface flows
Eggers, J. (1997) · Reviews of Modern Physics · doi:10.1103/revmodphys.69.865 · Cited by 1,817
Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysis
Osterholm, M. T., Kelley, N. S., Sommer, A., & Belongia, E. A. (2012) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(11)70295-x · Cited by 1,789
Metadata
- Authors
- Keim, N. C., Paulsen, J. D., Zeravcic, Z., Sastry, S., & Nagel, S. R.
- Venue
- Reviews of Modern Physics
- Publisher
- American Physical Society (APS)
- Published
- 2019-07-26
- Volume
- 91
- Issue
- 3
- ISSN
- 0034-6861 (ISSN-L)
- 1539-0756
- OpenAlex
- W2897716173
- Cited by
- 298
- References
- 89
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- green
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- Keim, N. C., Paulsen, J. D., Zeravcic, Z., Sastry, S., & Nagel, S. R. (2019). Memory formation in matter. Reviews of Modern Physics. https://doi.org/10.1103/revmodphys.91.035002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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