Neural Processing Letters

, Volume 6, Issue 3, pp 91–98 | Cite as

A Neural Network Model of Caenorhabditis Elegans: The Circuit of Touch Sensitivity

  • Angelo Cangelosi
  • Domenico Parisi


The paper presents a neural network model of the touch sensitivity circuit of the nematode Caenorhabditis elegans. We describe a serie of simulations in which neural networks are trained, using a genetic algorithm, to reproduce the habituation of the nematode's touch sensitive behavior. A lesion study of the network allows to make a direct comparison between the fine functioning of the model and the data collected in real organisms. The model accords well with the known neurobiological data and it suggests some hypotheses about the functioning of the neural circuit and of single neurons.

computational neuroscience C. elegans genetic algorithm lesion study 


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Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • Angelo Cangelosi
    • 1
  • Domenico Parisi
    • 1
    • 2
  1. 1.Department of Neural Systems and Artificial LifeInstitute of PsychologyRomeItaly
  2. 2.Center for Neural and Adaptive SystemsUniversity of Plymouth, Drake CircusPlymouth

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