https://doi.org/10.1140/epjp/i2017-11284-4
Regular Article
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: fwslima@gmail.com
Received:
11
April
2016
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
