The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Dynamic Pattern Generation in Behavioral and Neural Systems
Abstract
In the search for principles of pattern generation in complex biological systems, an operational approach is presented that embraces both theory and experiment. The central mathematical concepts of self-organization in nonequilibrium systems (including order parameter dynamics, stability, fluctuations, and time scales) are used to show how a large number of empirically observed features of temporal patterns can be mapped onto simple low-dimensional (stochastic, nonlinear) dynamical laws that are derivable from lower levels of description. The theoretical framework provides a language and a strategy, accompanied by new observables, that may afford an understanding of dynamic patterns at several scales of analysis (including behavioral patterns, neural networks, and individual neurons) and the linkage among them.
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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
Are central pattern generators understandable?
Selverston, A. I. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00006580 · Cited by 319
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Ijspeert, A. J., Crespi, A., Ryczko, D., & Cabelguen, J.-M. (2007) · Science · doi:10.1126/science.1138353 · Cited by 1,214
Intermanual coordination: From behavioural principles to neural-network interactions
Swinnen, S. P. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn807 · Cited by 788
An ecological Theory of Motion Sickness and Postural Instability
Riccio, G. E., & Stoffregen, T. A. (1991) · Ecological Psychology · doi:10.1207/s15326969eco0303_2 · Cited by 761
Thelen, E., & Smith, L. B. (2007) · Handbook of Child Psychology · doi:10.1002/9780470147658.chpsy0106 · Cited by 729
Tognoli, E., & Kelso, J. A. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.022 · Cited by 718
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Metadata
- Authors
- Schöner, G., & Kelso, J. A. S.
- Venue
- Science
- Published
- 1988-03-25
- Volume
- 239
- Issue
- 4847
- Pages
- 1513-1520
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2036956268
- Cited by
- 1,224
- References
- 2
- FWCI
- 36.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Schöner, G., & Kelso, J. A. S. (1988). Dynamic Pattern Generation in Behavioral and Neural Systems. Science. https://doi.org/10.1126/science.3281253
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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.
