Name
Abstract | ||
|---|---|---|
We discuss an attractor neural network in which only a fraction rho of nodes is simultaneously updated. In addition, the network has a heterogeneous distribution of connection weights and, depending on the current degree of order, connections are changed at random by a factor Phi on short-time scales. The resulting dynamic attractors may become unstable in a certain range of Phi thus ensuing chaotic itineracy which highly depends on rho. For intermediate values of rho, we observe that the number of attractors visited increases with rho, and that the trajectory may change from regular to chaotic and vice versa as rho is modified. Statistical analysis of time series shows a power-law spectra under conditions in which the attractors' space is most efficiently explored. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1142/S0218127409023032 | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS |
Keywords | DocType | Volume |
Chaotic switching, complex functionality in networks, criticality, transition to chaos | Journal | 19 |
Issue | ISSN | Citations |
2 | 0218-1274 | 1 |
PageRank | References | Authors |
0.53 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joaquín J. Torres | 1 | 142 | 19.57 |
| Joaquín Marro | 2 | 11 | 3.75 |
| Sebastiano de Franciscis | 3 | 8 | 2.32 |