The control structure of the nematode Caenorhabditis elegans: Neuro-sensory integration and proprioceptive feedback.

@article{Fieseler2018TheCS,
  title={The control structure of the nematode Caenorhabditis elegans: Neuro-sensory integration and proprioceptive feedback.},
  author={Charles Fieseler and James M. Kunert-Graf and J. Nathan Kutz},
  journal={Journal of biomechanics},
  year={2018},
  volume={74},
  pages={
          1-8
        }
}
Signatures of proprioceptive control in Caenorhabditis elegans locomotion
TLDR
A computational model is used to identify effects of neural and mechanical modulation on undulatory forward locomotion of Caenorhabditis elegans, with a focus on proprioceptively driven neural control, and reveals a fundamental relationship between body elasticity and environmental drag in determining the dynamics of the body.
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A method to build a global, low-dimensional model of the dynamics, whereby an underlying global linear dynamical system is actuated by temporally sparse control signals which can be predicted both from neurons previously implicated in behavioural transitions but also additional neurons previously unassociated with these behaviours.
Signatures of proprioceptive control in C. elegans locomotion
Animal neuromechanics describes the coordinated self-propelled movement of a body, subject to the combined effects of internal neural control and mechanical forces. Here we use a computational model
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A three-dimensional computational biomechanical model of the Caenorhabditis elegans body based on real anatomical structure is created with a particle system–based simulation engine known as Sibernetic, which implements the smoothed particle–hydrodynamics algorithm.
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TLDR
A simulation model is used to search for parameters of the anatomically constrained ventral nerve cord circuit that, when embodied and situated, can drive forward locomotion on agar, in the absence of pacemaker neurons or stretch-receptor feedback.
A neuromechanical model of multiple network rhythmic pattern generators for forward locomotion in C. elegans
TLDR
A simulation model is used to search for parameters of the anatomically constrained ventral nerve cord circuit that, when embodied and situated, can drive forward locomotion on agar, in the absence of pacemaker neurons or stretch-receptor feedback.
Whole animal modeling: piecing together nematode locomotion
Forward and backward locomotion patterns in C. elegans generated by a connectome-based model simulation
TLDR
A connectome-based neural network model consisting of motor neurons of classes A, B, D, AS, and muscle, considering both synaptic and gap connections is presented, which can be trained to reproduce the activity patterns measured for an animal (HRB4 strain).
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