Name
Abstract | ||
|---|---|---|
In this paper we investigate the effect of biasing the axonal connection delay values in the number of polychronous groups produced for a spiking neuron network model. We use an estimation of distribution algorithm (EDA) that learns tree models to search for optimal delay configurations. Our results indicate that the introduced approach can be used to considerably increase the number of such groups. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2330784.2331012 | GECCO (Companion) |
Keywords | Field | DocType |
axonal connection delay value,spiking network,tree model,spiking neuron network model,polychronous group,optimal delay configuration,distribution algorithm,estimation of distribution algorithm,network model,spiking neural network | Estimation of distribution algorithm,Random neural network,Computer science,Artificial intelligence,Spiking neural network,Machine learning,Network model | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Santana | 1 | 357 | 19.04 |
| Concha Bielza | 2 | 909 | 72.11 |
| Pedro Larrañaga | 3 | 3882 | 208.54 |