The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Central pattern generators for locomotion control in animals and robots: A review
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Citations
Cites
Optimality principles in sensorimotor control
Todorov, E. (2004) · Nature Neuroscience · doi:10.1038/nn1309 · Cited by 1,746
From Swimming to Walking with a Salamander Robot Driven by a Spinal Cord Model
Ijspeert, A. J., Crespi, A., Ryczko, D., & Cabelguen, J.-M. (2007) · Science · doi:10.1126/science.1138353 · Cited by 1,214
Self-citationDynamic Sensorimotor Interactions in Locomotion
Rossignol, S., Dubuc, R., & Gossard, J.-P. (2006) · Physiological Reviews · doi:10.1152/physrev.00028.2005 · Cited by 1,096
Learning of action through adaptive combination of motor primitives
Thoroughman, K. A., & Shadmehr, R. (2000) · Nature · doi:10.1038/35037588 · Cited by 945
Motor primitives in vertebrates and invertebrates
Flash, T., & Hochner, B. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.10.011 · Cited by 508 · cited 1×
“…now propose that animal motor control is based on the combination of motor primitives, i.e. that complex movements are generated by combining a finite set of simpler elementary movements (Thoroughman & Shadmehr, 2000; Tresch, Saltiel, d'Avella, & Bizzi, 2002; Todorov, 2004; Flash & Hochner, 2005).”
The cortex as a central pattern generator
Yuste, R., MacLean, J. N., Smith, J., & Lansner, A. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1686 · Cited by 355
Coordination and localization in spinal motor systems
Tresch, M. C., Saltiel, P., d’Avella, A., & Bizzi, E. (2002) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00189-3 · Cited by 167
Cabelguen, J.-M., Bourcier-Lucas, C., & Dubuc, R. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-06-02434.2003 · Cited by 134
Cited by
Whitesides, G. M. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201800907 · Cited by 850
Deep learning in robotics: A review of recent research
Pierson, H. A., & Gashler, M. S. (2017) · Advanced Robotics · doi:10.1080/01691864.2017.1365009 · Cited by 331
Hierarchical motor control in mammals and machines
Merel, J., Botvinick, M., & Wayne, G. (2019) · Nature Communications · doi:10.1038/s41467-019-13239-6 · Cited by 274
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
Chatzilygeroudis, K., Vassiliades, V., Stulp, F., Calinon, S., & Mouret, J.-B. (2020) · IEEE Transactions on Robotics · doi:10.1109/tro.2019.2958211 · Cited by 160
The manifold structure of limb coordination in walking Drosophila
DeAngelis, B. D., Zavatone-Veth, J. A., & Clark, D. A. (2019) · eLife · doi:10.7554/elife.46409 · Cited by 104
“Synthetic canonical gait data (Figure 3—figure supplement 1; Figure 4—figure supplement 5) To generate synthetic data matching canonical gait patterns, we adapted a model originally designed to generate quadruped gaits (Righetti and Ijspeert, 2008).”
BackgroundMethod
Metadata
- Authors
- Ijspeert, A. J.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 21
- Issue
- 4
- Pages
- 642-653
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2156174987
- Cited by
- 1,853
- References
- 8
- FWCI
- 37.73
- Type
- journal article
- Language
- en
- Open access
- green
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- Ijspeert, A. J. (2008). Central pattern generators for locomotion control in animals and robots: A review. Neural Networks. https://doi.org/10.1016/j.neunet.2008.03.014
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.
