The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Dimensionality and Dynamics in the Behavior of C. elegans
Open accessAbstract
A major challenge in analyzing animal behavior is to discover some underlying simplicity in complex motor actions. Here, we show that the space of shapes adopted by the nematode Caenorhabditis elegans is low dimensional, with just four dimensions accounting for 95% of the shape variance. These dimensions provide a quantitative description of worm behavior, and we partially reconstruct "equations of motion" for the dynamics in this space. These dynamics have multiple attractors, and we find that the worm visits these in a rapid and almost completely deterministic response to weak thermal stimuli. Stimulus-dependent correlations among the different modes suggest that one can generate more reliable behaviors by synchronizing stimuli to the state of the worm in shape space. We confirm this prediction, effectively "steering" the worm in real time.
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“fish larvae require only three basis functions to describe their backbone shapes, whereas worms analyzed in [18] required four.”
From The Behavioral Space of Zebrafish Locomotion and Its Neural Network Analog (2015) · cites this paper as [18]
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“A study of the invertebrate C. elegans by Stephens et al. [18] provided a powerful method to quantify worm locomotion in terms of the worm’s shapes.”
From The Behavioral Space of Zebrafish Locomotion and Its Neural Network Analog (2015) · cites this paper as [18]
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“However, fish exhibit larger behavioral complexity.”
From The Behavioral Space of Zebrafish Locomotion and Its Neural Network Analog (2015) · cites this paper as [18]
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In the citing paper
“fish are stiffer than worms thanks to their backbone (see Fig 6D), leading to a smaller repertoire of accessible shapes of the fish backbone.”
From The Behavioral Space of Zebrafish Locomotion and Its Neural Network Analog (2015) · cites this paper as [18]
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Citations
Cites
THE GENETICS OF CAENORHABDITIS ELEGANS
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The structure of the nervous system of the nematode Caenorhabditis elegans
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Genome Sequence of the Nematode C. elegans : A Platform for Investigating Biology
Berg, J. (1998) · Science · doi:10.1126/science.282.5396.2012 · Cited by 4,458
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Postural Hand Synergies for Tool Use
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The neural and behavioural organization of goal-directed movements
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Research works printed but not linked: 1
- J Frenet, 1985, Sur quelque properietès des courbes á double courbure. Thèse, Toulouse, 1847., Abstract in Jour de Math, 17, 437
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Whole-animal connectomes of both Caenorhabditis elegans sexes
Cook, S. J., Jarrell, T. A., Brittin, C. A., Wang, Y., Bloniarz, A. E., Yakovlev, M. A., Nguyen, K. C. Q., Tang, L. T.-H., Bayer, E. A., Duerr, J. S., et al. (2019) · Nature · doi:10.1038/s41586-019-1352-7 · Cited by 921
Mapping Sub-Second Structure in Mouse Behavior
Wiltschko, A. B., Johnson, M. J., Iurilli, G., Peterson, R. E., Katon, J. M., Pashkovski, S. L., Abraira, V. E., Adams, R. P., & Datta, S. R. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.031 · Cited by 760
Mapping the stereotyped behaviour of freely moving fruit flies
Berman, G. J., Choi, D. M., Bialek, W., & Shaevitz, J. W. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0672 · Cited by 565
Self-citationGlobal Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans
Kato, S., Kaplan, H. S., Schrödel, T., Skora, S., Lindsay, T. H., Yemini, E., Lockery, S. R., & Zimmer, M. (2015) · Cell · doi:10.1016/j.cell.2015.09.034 · Cited by 536
High-throughput behavioral analysis in C. elegans
Swierczek, N. A., Giles, A. C., Rankin, C. H., & Kerr, R. A. (2011) · Nature Methods · doi:10.1038/nmeth.1625 · Cited by 460
Metadata
- Authors
- Stephens, G. J., Johnson-Kerner, B., Bialek, W., & Ryu, W. S.
- Affiliations
- Princeton University (US)
- Corresponding author
- Stephens, Greg J.
- Ryu, William S.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-04-25
- Volume
- 4
- Issue
- 4
- Pages
- e1000028
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC2276863
- OpenAlex
- W2142254043
- Cited by
- 509
- References
- 45
- Citations by year
- 2026: 28 · 2025: 28 · 2024: 41 · 2023: 31 · 2022: 38 · 2021: 47 · 2020: 45 · 2019: 48 · 2018: 29 · 2017: 26 · 2016: 22 · 2015: 23 · 2014: 19 · 2013: 19 · 2012: 24
- FWCI
- 5.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- Caenorhabditis elegans, worm locomotion, body shape, equations of motion, attractors, thermal stimuli, behavioral synchronization
- MeSH terms
- Animals, Behavior, Animal, Computer Simulation, Gait, Locomotion, Models, Biological, Caenorhabditis elegans
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