Here we consider the dynamics of complex systems constituted of interacting computational units that have their own non-trivial dynamics. An example for a dynamical system is the time evolution of an infectious disease in a certain city that is weakly influenced by an ongoing outbreak of the same disease in another city; or the case of a neuron in a state where it fires spontaneously under the influence of the afferent axon potentials.
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© 2008 Springer-Verlag Berlin Heidelberg
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Gros, C. (2008). Synchronization Phenomena. In: Complex and Adaptive Dynamical Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71874-1_6
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DOI: https://doi.org/10.1007/978-3-540-71874-1_6
Publisher Name: Springer, Berlin, Heidelberg
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