Name
Abstract | ||
|---|---|---|
We present a nonlinear field model based on linear couplings for inhibition effects in early vision. The model is fitted to data from single unit recordings in the primary visual cortex of the cat. We focus on the prominent effect that responses to second stimuli are amplified, reduced, or unaffected depending on the temporal and spatial distance of the stimuli. The model is adjusted using an elaborated self-adaptive evolution strategy resulting in an accurate, easy to interpret, and well generalizing model. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0925-2312(02)00402-2 | Neurocomputing |
Keywords | Field | DocType |
Neural fields,Evolutionary optimization,Population representation,Early vision | Nonlinear system,Visual cortex,Pattern recognition,Generalization,Early vision,Neural fields,Evolution strategy,Artificial intelligence,Stimulus (physiology),Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
44 | 0925-2312 | 3 |
PageRank | References | Authors |
0.47 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Igel | 1 | 1841 | 123.54 |
| W von Seelen | 2 | 503 | 140.13 |
| Wolfram Erlhagen | 3 | 108 | 22.63 |
| Dirk Jancke | 4 | 23 | 7.41 |