Dynamical resilience and activity patterns of scale-free neural networks
| Autor: | Piedrahita, Pablo, Mazo, J. J., Floría, Luis Mario, Moreno, Yamir |
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| Rok vydání: | 2014 |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | Resumen del póster presentado a la "VI International Conference of the Institute for Biocomputation and Physics of Complex Systems (BIFI): Exploring the role of computation in Science: from Biology to Physics" celebrada en Zaragoza (España) del 22 al 24 de enero de 2014. We study the dynamics of integrate-and-fire excitable elements on top scale-free topologies. We show that for small network sizes, there are irregular global signals, but when larger networks are considered a transition to periodic behavior occurs. These regular patterns are in the high-frequency domain as the result of, what we call, saturation effect, which is in turn a consequence of both topology (hubs) and high amplitude (homogeneous) pulses. In order to avoid saturation and enhance periodic activity, we introduce a relation between topology and dynamics by linking pulse amplitudes to nodes degree (heterogeneity), which leads to global coherent oscillations regardless of the size of the network. Finally, we explore to what extent it is possible to control the signal of the ongoing dynamics as well as the dynamical robustness of the systems (in terms of its activity) when a damage of the network is simulated. |
| Databáze: | OpenAIRE |
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