A Simulation Model of the Locomotion Controllers for the Nematode Caenorhabditis elegans
Abstract
This paper presents a simple yet biologicallygrounded \nmodel of the C. elegans neural circuit \nfor forward locomotive control. The model considers \na limited subset of the C. elegans nervous \nsystem, within a minimal two-dimensional environment. \nDespite its reductionist approach, this \nmodel is sufficiently rich to generate patterns of \nundulations that are reminiscent of the biological \nworm’s behaviour and qualitatively similar to \npatterns which have been shown to generate locomotion \nin a model of a richer physical environment. \nInterestingly, and contrary to conventional \nwisdom about neural circuits for motor control, \nour results are consistent with the conjecture that \nthe worm may be relying on feedback from the \nshape of its body to generate undulations that \npropel it forward or backward.
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Cites
Active Currents Regulate Sensitivity and Dynamic Range in C. elegans Neurons
Goodman, M. B., Hall, D. H., Avery, L., & Lockery, S. R. (1998) · Neuron · doi:10.1016/s0896-6273(00)81014-4 · Cited by 370 · see citing works
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Research works printed but not linked: 15
- Bryden, J. (2003). A simulation model of the locomotion controllers for the nematode Caenorhabditis elegans . Master's thesis, University of Leeds.
- Chalfie, M., Sulston, J., White, J., Southgate, E., Thomson, J., and Brenner, S. (1985). The neural circuit for touch sensitivity in Caenorhabditis elegans . Journal of Neuroscience , 5(4):956-964.
- Chalfie, M. and White, J. (1988). The nervous system. In Wood, W., (Ed.), The Nematode Caenorhabditis elegans . Cold Spring Harbor Laboratory, Cold Spring Harbor, NY.
- Ferr´ ee, T. C. and Lockery, S. R. (1998). Chemotaxis control by liner recurrent networks. Journal of Computational Neuroscience: Trends in Research , pages 373-377.
- Ferr´ ee, T. C. and Lockery, S. R. (1999). Computational rules for chemotaxis in the nematode C. elegans . Journal of Computational Neuroscience , 6:263-277.
- Gray, L. (1950). The kinetics of locomotion of the grass snake. Journal of Experimental Biology , 26:354.
- Gray, L. (1953). Undulatory propulsion. Quarterly Journal of Microscopical Science , 94:551.
- Ijspeert, A. (2001). A connectionist central pattern generator for the aquatic and terrestrial gaits of a simulated salamander. Biological Cybernetics , 84(5):331-348.
- Ijspeert, A., Hallam, J., and Willshaw, D. (1999). Evolving swimming controllers for a simulated lamprey with inspiration from neurobiology. Adaptive Behavior , 7(2):151-172.
- Marder, E. and Calabrese, R. (1996). Principles of rhythmic motor pattern generation. Physiological Reviews , 76(3):687-717.
- Niebur, E. and Erd¨ os, P. (1991). Theory of the locomotion of nematodes. Biophysical Journal , 60:11321146.
- Niebur, E. and Erd¨ os, P. (1993). Modeling locomotion and its neural control in nematodes. Comments on Theoretical Biology , 3(2):109-139.
- White, J., Southgate, E., Thomson, J., and Brenner, S. (1986). The structure of the nervous system of the nematode c.elegans (the mind of a worm). Philosophical Transactions of the Royal Society London. Series B, Biological Sciences , 314(1165):1-34.
- Wicks, S., Roehrig, C., and Rankin, C. (1996). A dynamic network simulation of the nematode tap withdrawal circuit: Predictions concerning synaptic function using behavioral criteria. Journal of Neuroscience , 16:4017-4031.
- Wood, W. (1988). Introduction to C. elegans biology. In Wood, W., (Ed.), The Nematode Caenorhabditis elegans . Cold Spring Harbor Laboratory, Cold Spring Harbor, NY.
Cited by
Sorted by citations
Gait Modulation in C. elegans: An Integrated Neuromechanical Model
Boyle, J. H., Berri, S., & Cohen, N. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00010 · Cited by 163 · see citing works
“COMPUTATIONAL NEUROSCIENCE ORIGINAL RESEARCH ARTICLE published: 07 March 2012 doi: 10.3389/fncom.2012.00010 Gait modulation in C. elegans: an integrated neuromechanical model”
BackgroundMethodInfluentialSelf-citationForward locomotion of the nematode <i>C. elegans</i> is achieved through modulation of a single gait
Berri, S., Boyle, J. H., Tassieri, M., Hope, I. A., & Cohen, N. (2009) · HFSP Journal · doi:10.2976/1.3082260 · Cited by 132 · see citing works
“Rather the contractions along the body of the worm must be strong and extensive enough to do so, as predicted, for example, in previous work (Bryden and Cohen, 2004, 2008).”
BackgroundSelf-citationKarbowski, J., Schindelman, G., Cronin, C. J., Seah, A., & Sternberg, P. W. (2008) · Journal of Computational Neuroscience · doi:10.1007/s10827-007-0054-6 · Cited by 87 · see citing works
“This mechanism was theoretically considered by Bryden and Cohen (2004).”
BackgroundNeural control of Caenorhabditis elegans forward locomotion: the role of sensory feedback
Bryden, J., & Cohen, N. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0212-6 · Cited by 71 · see citing works
“The oscillation frequencies of both segments, the phase lag between the segments and the amplitude of both segments were then averaged for each value of AVB-unit voltage over the three simulation runs.”
BackgroundMethodSelf-citationCaenorhabditis elegans body wall muscles are simple actuators
Boyle, J., & Cohen, N. (2008) · Biosyst. · doi:10.1016/j.biosystems.2008.05.025 · Cited by 38 · see citing works
Self-citationAn Integrated Neuro-mechanical Model of C. elegans Forward Locomotion
Boyle, J. H., Bryden, J., & Cohen, N. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69158-7_5 · Cited by 24 · see citing works
Self-citationWhole animal modeling: piecing together nematode locomotion
Cohen, N., & Denham, J. E. (2019) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2018.12.002 · Cited by 24 · see citing works
Self-citationA dynamic body model of the nematode C. elegans with a touch-response circuit
Suzuki, M., Tsuji, T., & Ohtake, H. (2005) · IEEE International Conference on Robotics and Biomimetics · doi:10.1109/robio.2005.246325 · Cited by 17
“1, and several body models for motor control have been proposed [5],[6].”
BackgroundEmulation of chemical stimulus triggered head movement in the C. elegans nematode
Meruelo, A. C., Machado, P., Appiah, K., Mujika, A., Leškovský, P., Álvarez, R., Epelde, G., & McGinnity, T. M. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.02.024 · Cited by 12 · see citing works
“Up to now, most of the locomotion simulation that has been achieved has been based purely on Central Pattern Generators [7] , oscillators [8] or artificial neural networks [9,11–13] ; this is the first time that it is based on a combination of artificial neural networks and a 3D physics engine [45] .”
BackgroundThree-phase Control for Miniaturization of a Snake-like Swimming Robot
Rossiter, J., Stoimenov, B., Nakabo, Y., & Mukai, T. (2006) · IEEE International Conference on Robotics and Biomimetics · doi:10.1109/robio.2006.340101 · Cited by 13
“The movements of anguilliforms are also quite similar to the patterns shown by bacteria and protozoa using resistive propulsion ([5]) at low Reynolds numbers (10 – 10) shown as region B in Fig.”
BackgroundResultAnalysis of Nematode Motion Using an Improved Light-Scatter Based System
Nutting, C., Eversole, R., Blair, K., Specht, S., Nutman, T., Klion, A., Wanji, S., Boussinesq, M., & Mackenzie, C. (2015) · PLoS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0003523 · Cited by 9 · see citing works
“The preparation of preparing a blood smear and microscopic examination requires a skilled technician and microscope, as well as potentially exposes the technician to other blood-borne pathogens [15].”
BackgroundPetrushin, A., Ferrara, L., & Blau, A. W. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/065001 · Cited by 6 · see citing works
“…neurons ( Roberts et al 2016 ) or requires a more detailed description of neural events including other signaling modalities such as neuromodulators ( Trojanowski and Raizen 2015 ) and proprioceptive ( Butler et al 2015 ) or mechanosensory feedback ( Bryden and Cohen 2004, Kar-bowski et al 2008 ) .”
BackgroundCharacterization of the crawling activity of Caenorhabditis elegans using a hidden markov model
Lee, S.-H., & Kang, S.-H. (2015) · Theory in biosciences · doi:10.1007/s12064-015-0213-7 · Cited by 6 · see citing works
- Authors
- Bryden, J., & Cohen, N.
- Affiliations
- White Rose University Consortium (GB)
- University of Leeds (GB)
- Venue
- From Animals to Animats 8
- Publisher
- The MIT Press
- Published
- 2004-06-25
- Pages
- 183-192
- OpenAlex
- W1608188033
- Cited by
- 26
- References
- 0
- Citations by year
- 2019: 1 · 2018: 3 · 2017: 1 · 2016: 1 · 2015: 3 · 2013: 2 · 2012: 2
- FWCI
- 9.34
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- The MIT Press eBooks (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Robotic Locomotion and Control
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- Caenorhabditis elegans, locomotion control, neural circuit model, forward locomotion, undulatory locomotion, motor control
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