Dynamical robustness of collective neuronal activity upon targeted damage in interdependent networks
Department of Condensed Matter Physics, University of Zaragoza, 50009, Zaragoza, Spain
2 GOTHAM Lab, Institute of Biocomputation and Physics of Complex Systems, University of Zaragoza, 50018, Zaragoza, Spain
3 Department of Condensed Matter Physics, University of Barcelona, 08028, Barcelona, Spain
4 Departamento de Estructura de la Materia, Física Térmica y Electrónica, Universidad Complutense de Madrid, 28040, Madrid, Spain
5 Grupo Interdisciplinar de Sistemas Complejos (GISC), Universidad Complutense de Madrid, 28040, Madrid, Spain
6 Universitat de Barcelona Institute of Complex Systems (UBICS), 08028, Barcelona, Spain
Accepted: 16 December 2021
Published online: 12 January 2022
In the last decades, the availability of data about the structure of social, technological and biological systems has provided important insights on the mechanisms governing their correct functioning and robustness. These mechanisms are grounded on the complex backbone of interactions among the constituents of the system, which include both topological and dynamical aspects. Here, we analyze interdependent networks composed of two layers of interacting neuronal units and explore their robustness when these synthetic cultures are subjected to damage in the form of either targeted attack or failure. Our results show that the functionality of these networks does not decrease monotonically with damage but, on the contrary, they are able to increase their level of activity when the experienced damage is sufficiently strong.
© The Author(s) 2022
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