The hypothesis that living neural networks operate near a critical phase transition point has
received substantial discussion. This “criticality hypothesis” is potentially important because …

Cells convey information about their extracellular environment to their core functional
machineries. Studying the capacity of intracellular signaling pathways to transmit information …

Complex systems are characterized by multiple spatial and temporal scales. A natural
framework to capture their multiscale nature is that of multilayer networks, where different …

Biological and living organisms sense and process information from their surroundings,
typically having access only to a subset of external observables for a limited amount of time …

Abstract ATP-Binding Cassette (ABC) transporters are a broad family of biological machines,
found in most prokaryotic and eukaryotic cells, performing the crucial import or export of …

We introduce a class of stochastic engines in which the regime of units operating
synchronously can boost the performance. Our approach encompasses a minimal setup …

Understanding the relation between the structure of brain networks and their functions is a
fundamental open question. Simple models of neural activity based on real anatomical …

The critical brain hypothesis has emerged as an attractive framework to understand
neuronal activity, but it is still widely debated. In this work, we analyze data from a multi …

Generalized empirical currents represent a vast class of thermodynamic observables of
mesoscopic systems. Their fluctuations satisfy the thermodynamic uncertainty relations …

We apply the static auxiliary field Monte Carlo approach to study phase correlations of the
pairing fields in a model with spin-singlet pairing interaction. We find that the short-and long …