Emulation of chemical stimulus triggered head movement in the C. elegans nematode

  title={Emulation of chemical stimulus triggered head movement in the C. elegans nematode},
  author={Alicia Costalago Meruelo and Pedro Machado and Kofi Appiah and Andoni Mujika and Peter Leskovsk{\'y} and Roberto {\'A}lvarez and Gorka Epelde and T. Martin McGinnity},
6 Citations
On the Modeling of the Three Types of Non-spiking Neurons of the Caenorhabditis elegans
This paper aims at modeling the three non-spiking RIM, AIY and AFD neurons (arbitrarily named with three upper case letters by convention), and proposes a conductance-based neuron model adapted to the electrophysiological features of each neuron.
Modal Locomotion of C.elegans
A locomotion model for C. elegans is introduced, which can enable in-silico validation of behavioral experiments prior to physical experimentation with actual C. aristans specimens and achieve locomotions that match qualitatively those of real-world worms.
Unsupervised learning of control signals and their encodings in Caenorhabditis elegans whole-brain recordings
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.
Neural model generating klinotaxis behavior accompanied by a random walk based on C. elegans connectome
A connectome-based simulation model of C. elegans is presented to concurrently realize realistic klinotaxis and random walk behaviors and explore their neural mechanisms, providing a new hypothesis as to the neural mechanism underlying the random walk.
Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons
A new systematic approach based on multi-objective optimization which builds general non-spiking models with generalization capabilities is proposed which is applied on three non- Spiking neurons of the nematode Caenorhabditis elegans (C. elegans).


A model of motor control of the nematode C. elegans with neuronal circuits
Training sensory-motor behavior in the connectome of an artificial C. elegans
The Si elegans Project - The Challenges and Prospects of Emulating Caenorhabditis elegans
The overall concepts are presented with special focus on the virtual embodiment of the nematode with a closed-feedback loop, which will result in motor commands at neuromuscular junctions at the hardware-software interface to actuate virtual muscles of the virtual nematodes.
Gait Modulation in C. elegans: An Integrated Neuromechanical Model
A model of C. elegans forward locomotion is presented that includes a neuromuscular control system that relies on a sensory feedback mechanism to generate undulations and is integrated with a physical model of the body and environment and reproduces the entire swim-crawl transition with no modulatory mechanism.
A neural network model for chemotaxis in Caenorhabditis elegans
This research was able to train neural networks to exhibit known chemotaxis rules using experimental data from chemotaxing C. elegans and found three distinguishing features: a fast excitatory and delayed inhibitory connection, which acts as a differentiator; self-connections, which act to regulate neural response speed similar to synaptic time-constants; and recurrent inhibitory connections, which regulate second order network response characteristics.
A neural network model of Caenorhabditis elegans and simulation of chemotaxis-related information processing in the neural network
A neural network model of C. elegans with the actual neural structure preserved to simulate the organism's attraction to sodium chloride is proposed, and the results exhibited same trends as the biological experiment indicating that the approach can be used to predict the results of biological experiments, and can therefore be used as a tool to provide guidelines for such experiments.
Biological modeling the undulatory locomotion of C. elegans using dynamic neural network approach
Neural control of Caenorhabditis elegans forward locomotion: the role of sensory feedback
A simple yet biologically-grounded model for the neural control of Caenorhabditis elegans forward locomotion finds that a minimal circuit of AVB interneurons and B-class motoneurons is sufficient to generate and sustain fictiveforward locomotion patterns that are robust to significant environmental perturbations.
A simulation model of the locomotion controllers for the nematode Caenorhabditis elegans
This model is sufficiently rich to generate patterns of undulations that are reminiscent of the biological worm's behaviour and qualitatively similar to patterns which have been shown to generate locomotion in a model of a richer physical environment.
Nematode locomotion: dissecting the neuronal–environmental loop