Quantifying the coexistence of neuronal oscillations and avalanches Lombardi, Fabrizio ; https://orcid.org/0000-0003-2623-5249 Pepic, Selver Shriki, Oren Tkačik, Gašper ; https://orcid.org/0000-0002-6699-1455 De Martino, Daniele ddc:570 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 time-bins. 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 non-equilibrium critical point at the onset of self-sustained oscillations. arXiv 2021 info:eu-repo/semantics/preprint doc-type:preprint text http://purl.org/coar/resource_type/c_816b https://research-explorer.ista.ac.at/record/10912 Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. doi:<a href="https://doi.org/10.48550/ARXIV.2108.06686">10.48550/ARXIV.2108.06686</a> eng info:eu-repo/semantics/altIdentifier/doi/10.48550/ARXIV.2108.06686 info:eu-repo/semantics/altIdentifier/arxiv/2108.06686 info:eu-repo/semantics/openAccess