Synchronization regimes in a map-based model neural network
Review articleOpen access
E.J. Agnes - No affiliation found
2010/02/01 Full-length article DOI: 10.1016/j.physa.2009.10.012
Journal: Physica A: Statistical Mechanics and its Applications
AbstractThe 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.
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