Iva Bačić

Iva Bačić
Central European University | CEU · Department of Network and Data Science

Doctor of Philosophy

About

12
Publications
473
Reads
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40
Citations
Additional affiliations
October 2020 - present
Central European University
Position
  • PostDoc Position
November 2015 - present
Institute of Physics Belgrade
Position
  • Research Assistant
Education
November 2015 - November 2020
Faculty of Physics, University of Belgrade
Field of study
  • Physics of Condensed Matter and Statistical Physics
November 2014 - September 2015
Faculty of Physics, University of Belgrade
Field of study
  • Theoretical and Experimental Physics
October 2010 - September 2014
Faculty of Physics, University of Belgrade
Field of study
  • Theoretical and Experimental Physics

Publications

Publications (12)
Article
We analyze the ordering efficiency and the structure of disordered configurations for the zero-temperature Glauber model on Watts-Strogatz networks obtained by rewiring 2D regular square lattices. In the small-world regime, the dynamics fails to reach the ordered state in the thermodynamic limit. Due to interplay of the perturbed regular topology a...
Article
We demonstrate that the interplay of noise and plasticity gives rise to slow stochastic fluctuations in a system of two adaptively coupled active rotators with excitable local dynamics. Depending on the adaptation rate, two qualitatively different types of switching behavior are observed. For slower adaptation, one finds alternation between two mod...
Preprint
Full-text available
Inverse stochastic resonance comprises a nonlinear response of an oscillatory system to noise where the frequency of noise-perturbed oscillations becomes minimal at an intermediate noise level. We demonstrate two generic scenarios for inverse stochastic resonance by considering a paradigmatic model of two adaptively coupled stochastic active rotato...
Preprint
We study an excitable active rotator with slowly adapting nonlinear feedback and noise. Depending on the adaptation and the noise level, this system may display noise-induced spiking, noise-perturbed oscillations, or stochastic busting. We show how the system exhibits transitions between these dynamical regimes, as well as how one can enhance or su...
Article
We study an excitable active rotator with slowly adapting nonlinear feedback and noise. Depending on the adaptation and the noise level, this system may display noise-induced spiking, noise-perturbed oscillations, or stochastic bursting. We show how the system exhibits transitions between these dynamical regimes, as well as how one can enhance or s...
Article
Inverse stochastic resonance comprises a nonlinear response of an oscillatory system to noise where the frequency of noise-perturbed oscillations becomes minimal at an intermediate noise level. We demonstrate two generic scenarios for inverse stochastic resonance by considering a paradigmatic model of two adaptively coupled stochastic active rotato...
Presentation
Full-text available
We analyze the ordering efficiency and the structure of disordered configurations for the zero-temperature Glauber model on Watts-Strogatz networks obtained by rewiring 2D regular square lattices. In the small-world regime, the dynamics fails to reach the ordered state in the thermodynamic limit. Due to the interplay of the perturbed regular topolo...
Presentation
Full-text available
Inverse stochastic resonance is a phenomenon in which an oscillating system influenced by noise exhibits a minimal oscillation frequency at an intermediate noise level. We demonstrate a novel generic scenario for such an effect in a multi-timescale system, considering an example of emergent oscillations in two adaptively coupled active rotators wit...
Article
Inverse stochastic resonance is a phenomenon where an oscillating system influenced by noise exhibits a minimal oscillation frequency at an intermediate noise level. We demonstrate a novel generic scenario for such an effect in a multi-timescale system, considering an example of emergent oscillations in two adaptively coupled active rotators with e...
Poster
Full-text available
Inverse stochastic resonance is a phenomenon where an oscillating system shows a nonlinear response to noise, displaying a minimal oscillation frequency at an intermediate noise level. Such an effect has been indicated to play important functional roles in neuronal systems, contributing to reduction of spiking frequency in the absence of neuromodul...
Article
Disordered configurations of the Glauber model on two-dimensional networks Rare events in "noisy" networks Spatial scales in electricity system modelling Weyl states mean magnetic protectorates
Article
We analyze the emergent regimes and the stimulus-response relationship of a population of noisy map neurons by means of a mean-field model, derived within the framework of cumulant approach complemented by the Gaussian closure hypothesis. It is demonstrated that the mean-field model can qualitatively account for stability and bifurcations of the ex...

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