Name
Abstract | ||
|---|---|---|
In this paper, a new competition mechanism for neural fields is proposed, as well as first experimental studies of its robustness. The computational properties of this algorithm are discussed, arguing that such properties are suitable for neural architectures, where some restrictions of the usual neural fields competition methods are not acceptable. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11550822_35 | ICANN (1) |
Keywords | Field | DocType |
usual neural fields competition,neural field,experimental study,neural architecture,computational architecture,computational property,new competition mechanism,computer architecture | Physical neural network,Computer science,Models of neural computation,Neural fields,Robustness (computer science),Unsupervised learning,Artificial intelligence,Artificial neural network,Spiking neural network,Machine learning | Conference |
Volume | ISSN | ISBN |
3696 | 0302-9743 | 3-540-28752-3 |
Citations | PageRank | References |
3 | 0.47 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hervé Frezza-Buet | 1 | 80 | 10.20 |
| Olivier Ménard | 2 | 11 | 1.54 |