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Neural model generating klinotaxis behavior accompanied by a random walk based on C. elegans connectome.

Mohan Chen1, Dazheng Feng2, Hongtao Su1

  • 1School of Electronic Engineering, Xidian University, Xi'an, 710071, China.

Scientific Reports
|February 24, 2022
PubMed
Summary

This study models Caenorhabditis elegans (C. elegans) behavior, revealing neural mechanisms for klinotaxis and random walking. The simulation accurately replicates C. elegans locomotion, advancing our understanding of its neural network.

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Behavioral Science

Background:

  • Chemotaxis, including klinotaxis, and random walking are key behaviors in Caenorhabditis elegans (C. elegans).
  • The precise neural mechanisms governing these C. elegans behaviors remain incompletely understood.

Purpose of the Study:

  • To develop a connectome-based simulation model of C. elegans.
  • To concurrently simulate realistic klinotaxis and random walk behaviors.
  • To explore the underlying neural mechanisms of these behaviors in C. elegans.

Main Methods:

  • Incorporated an ASE sensory neuron model with ASEL neuron all-or-none depolarization.
  • Utilized an evolutionary algorithm to evolve the neural network.
  • Introduced a novel 'liquid synapse' model to account for biological synapse stochasticity.

Main Results:

  • Klinotaxis emerged spontaneously within the evolved neural network.
  • A plausible neural mechanism for klinotaxis was identified.
  • The liquid synapse model autonomously generated random walk behavior, proposing a new neural mechanism hypothesis.
  • Simulated ablation studies showed results consistent with biological findings.

Conclusions:

  • The developed C. elegans model effectively simulates key behaviors and offers insights into their neural underpinnings.
  • The study provides a novel hypothesis for the neural basis of random walk behavior.
  • The model's consistency with biological data validates its utility for studying C. elegans neural networks.