Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1023/A:1009615807222 | Neural Processing Letters |
Keywords | DocType | Volume |
computational neuroscience,C. elegans,genetic algorithm,lesion study | Journal | 6 |
Issue | ISSN | Citations |
3 | 1573-773X | 12 |
PageRank | References | Authors |
2.08 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Cangelosi | 1 | 419 | 75.30 |
| Angelo Cangelosi | 2 | 419 | 75.30 |
| Domenico Parisi | 3 | 745 | 101.62 |