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Selver Pepić

Researcher in medical physics (multi-ion beam therapy for cancer) at DKFZ Heidelberg (German Cancer Research Center).  M.Sc. in Biomedical Engineering from ETH Zurich and B.Sc. in Physics from University of Sarajevo.

Društvene mreže:

Polje Istraživanja: Medical physics

Institucija

Researcher in medical physics (multi-ion beam therapy for cancer) at DKFZ Heidelberg (German Cancer Research Center), previously researcher at IST Austria (various projects in physics), with Masters in Biomedical Engineering from ETH Zurich and Bachelors in Physics from University of Sarajevo.

Previously competitor at International Physsics Olympiad (bronze medal in 2012) and since 2013 mentor/leader for Physics Olympic teams of Bosnia and Herzegovina, lecturer and organizer of ca. 10 physics camps.

Founding member of Association for Advancement of Science and Technology (ANNT) which gathers young researchers and students with aim to contribute to betterment of science and technology in Bosnia and Herzegovina.

F. Lombardi, Selver Pepic, O. Shriki, G. Tkačik, Daniele De, Martino

Brain dynamics display collective phenomena as diverse as neuronal oscillations and avalanches. Oscillations are rhythmic, with fluctuations occurring at a characteristic scale, whereas avalanches are scale-free cascades of neural activity. Here we show that such antithetic features can coexist in a very generic class of adaptive neural networks. In the most simple yet fully microscopic model from this class we make direct contact with human brain resting-state activity recordings via tractable inference of the model’s two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor fluctuations, collective behaviors of nearly-synchronous extreme events on multiple sensors, to neuronal avalanches unfolding over multiple sensors across multiple timebins. Importantly, the inferred parameters correlate with model-independent signatures of “closeness to criticality”, suggesting that the coexistence of scale-specific (neural oscillations) and scale-free (neuronal avalanches) dynamics in brain activity occurs close to a nonequilibrium critical point at the onset of self-sustained oscillations.

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