Modeling Behavioral Experiment Interaction and Environmental Stimuli for a Synthetic C. elegans

Date: 08.12.2017

Frontiers in Neuroinformatics


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Abstract

This paper focusses on the simulation of the neural network of the C. elegans living organism, and more specifically in the modelling of the stimuli applied within behavioural experiments and the stimuli that is generated in the interaction of the C. elegans with the environment.
To the best of our knowledge, all efforts regarding stimuli modelling for the C. elegans are focused on a single type of stimulus, which is usually tested with a limited subnetwork of the C. elegans neural system. In this paper, we follow a different approach where we model a wide-range of different stimuli, with more flexible neural network configurations and simulations in mind. Moreover, we focus on the stimuli sensation by different types of sensory organs or various sensory principles of the neurons.
As part of this work, most common stimuli involved in behavioural assays have been modelled. It includes models for mechanical, thermal, chemical, electrical and light stimuli, and for proprioception-related self-sensed information exchange with the neural network. The developed models have been implemented and tested with the hardware-based Si elegans simulation platform.

BIB_text

@Article {
title = {Modeling Behavioral Experiment Interaction and Environmental Stimuli for a Synthetic C. elegans},
journal = {Frontiers in Neuroinformatics},
pages = {article 7},
volume = {11},
keywds = {
C. elegans, in-silico studies, neural simulation, stimuli modeling, behavioral assays
}
abstract = {

This paper focusses on the simulation of the neural network of the C. elegans living organism, and more specifically in the modelling of the stimuli applied within behavioural experiments and the stimuli that is generated in the interaction of the C. elegans with the environment.
To the best of our knowledge, all efforts regarding stimuli modelling for the C. elegans are focused on a single type of stimulus, which is usually tested with a limited subnetwork of the C. elegans neural system. In this paper, we follow a different approach where we model a wide-range of different stimuli, with more flexible neural network configurations and simulations in mind. Moreover, we focus on the stimuli sensation by different types of sensory organs or various sensory principles of the neurons.
As part of this work, most common stimuli involved in behavioural assays have been modelled. It includes models for mechanical, thermal, chemical, electrical and light stimuli, and for proprioception-related self-sensed information exchange with the neural network. The developed models have been implemented and tested with the hardware-based Si elegans simulation platform.


}
isi = {1},
doi = {10.3389/fninf.2017.00071},
date = {2017-12-08},
year = {2017},
}
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