A Neural Network Model of Chemotaxis Predicts Functions of Synaptic Connections in the Nematode Caenorhabditis elegans

@article{Dunn2004ANN,
  title={A Neural Network Model of Chemotaxis Predicts Functions of Synaptic Connections in the Nematode Caenorhabditis elegans},
  author={Nathan A. Dunn and Shawn R. Lockery and Jonathan T. Pierce-Shimomura and John S. Conery},
  journal={Journal of Computational Neuroscience},
  year={2004},
  volume={17},
  pages={137-147}
}
The anatomical connectivity of the nervous system of the nematode Caenorhabditis elegans has been almost completely described, but determination of the neurophysiological basis of behavior in this system is just beginning. Here we used an optimization algorithm to search for patterns of connectivity sufficient to compute the sensorimotor transformation underlying C. elegans chemotaxis, a simple form of spatial orientation behavior in which turning probability is modulated by the rate of change… Expand
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