| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 976256 | Physica A: Statistical Mechanics and its Applications | 2010 | 8 Pages |
Abstract
The dynamical activity of a neural network model composed of electrically connected map-based neurons is investigated. After detailing the behavior of the isolated neuron for a wide parameter range, collective network states are depicted using the activity, spatial correlation and time phase distribution as measures. A detailed discussion on the stability of global and partial synchronization states is presented.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
E.J. Agnes, R. Erichsen Jr., L.G. Brunnet,