Name
Abstract | ||
|---|---|---|
A continuous-time K-winners-take-all (KWTA) neural model that can identify the largest K of N inputs, where command signal 1 ≤ K <; N is described. The model is given by a differential equation where the spike train is a sum of delta functions. A functional block-diagram of the model includes N feed-forward hard-limiting neurons and one feedback neuron, used to handle input dynamics. The existence... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCYB.2018.2839691 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Computational modeling,Mathematical model,Convergence,Artificial neural networks,Analytical models,Trajectory,Hardware | Convergence (routing),Applied mathematics,Uniqueness,Differential equation,Mathematical optimization,Spike train,State variable,Initial value problem,Mathematical model,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
49 | 8 | 2168-2267 |
Citations | PageRank | References |
3 | 0.38 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pavlo V. Tymoshchuk | 1 | 15 | 2.00 |
| Wunsch II Donald C. | 2 | 1354 | 91.73 |