Deterministic chaos control in neural networks on various topologies
Dietrich Stauffer Computational Physics Lab, Departamento de Física, Universidade Federal do Piauí, 64049-550, Teresina, PI, Brazil
* e-mail: firstname.lastname@example.org
Accepted: 5 December 2016
Published online: 12 January 2017
Using numerical simulations, we study the control of deterministic chaos in neural networks on various topologies like Voronoi-Delaunay, Barabási-Albert, Small-World networks and Erdös-Rényi random graphs by “pinning” the state of a “special” neuron. We show that the chaotic activity of the networks or graphs, when control is on, can become constant or periodic.
© Società Italiana di Fisica and Springer-Verlag Berlin Heidelberg, 2017