Name
Abstract | ||
|---|---|---|
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting Each group of neurons representing one object of a visual input is synchronized; different groups of neurons representing different objects of a visual input are desynchronized Cooperation and competition mechanism is also introduced to accelerate oscillating frequency of the salient object as well as to slow down other objects, which result in the most salient object jumping to a high frequency oscillation, while all other objects being silent The object corresponding to high frequency oscillation is selected, then the selected object is inhibited and other neurons continue to oscillate to select the next salient object. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13318-3_31 | ISNN (2) |
Keywords | Field | DocType |
next salient object,visual input,high frequency oscillation,neural network,oscillating frequency,salient object,fitzhugh-nagumo equation,different group,visual selection,selected object,different object,oscillations,high frequency,selective attention | Computer vision,Oscillation,Pattern recognition,Computer science,Salient objects,Biased Competition Theory,Artificial intelligence,Artificial neural network,High frequency oscillation | Conference |
Volume | ISSN | ISBN |
6064 | 0302-9743 | 3-642-13317-7 |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haili Wang | 1 | 17 | 4.48 |
| Yuanhua Qiao | 2 | 31 | 6.68 |
| Lijuan Duan | 3 | 215 | 26.13 |
| Faming Fang | 4 | 58 | 12.96 |
| Jun Miao | 5 | 220 | 22.17 |
| Bingpeng Ma | 6 | 651 | 36.63 |