Divide and conquer: resonance induced by competitive interactions

Abstract

We study an Ising model in a network with disorder induced by the presence of both attractive and repulsive links. This system is subjected to a subthreshold signal, and the goal is to see how the response is enhanced for a given fraction of repulsive links. This can model a network of spin-like neurons with excitatory and inhibitory couplings. By means of numerical simulations and analytical calculations we find that there is an optimal probability, such that the coherent response is maximal.

References in corpus (9)

• Specificity and stability in topology of protein networks
• Diversity-induced resonance
• Amplified signal response in scale-free networks by collaborative signaling
• Global firing induced by noise or diversity in excitable media
• Emergent global oscillations in heterogeneous excitable media: The example of pancreatic beta cells
• Sparse repulsive coupling enhances synchronization in complex networks
• Stochastic resonance in soft matter systems: combined effects of static and dynamic disorder
• Collective effects induced by diversity in extended systems
• Global firing induced by network disorder in ensembles of active rotators

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• Contrarian Voter Model under the influence of an Oscillating Propaganda: Consensus, Bimodal behavior and Stochastic Resonance