Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans
Abstract
We train recurrent networks to control chemotaxis in a computer model of the nematode C. elegans. The model presented is based closely on the body mechanics, behavioral analyses, neuroanatomy and neurophysiology of C. elegans, each imposing constraints rel(cid:173) evant for information processing. Simulated worms moving au(cid:173) tonomously in simulated chemical environments display a variety of chemotaxis strategies similar to those of biological worms.
Cite
Text
Ferrée et al. "Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans." Neural Information Processing Systems, 1996.Markdown
[Ferrée et al. "Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/ferree1996neurips-neural/)BibTeX
@inproceedings{ferree1996neurips-neural,
title = {{Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans}},
author = {Ferrée, Thomas C. and Marcotte, Ben A. and Lockery, Shawn R.},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {55-61},
url = {https://mlanthology.org/neurips/1996/ferree1996neurips-neural/}
}