162 citations · 693 across the 50 of their papers we have counts for
8 papers · 1 filter
Splitting of nonequilibrium phase transitions in driven Ising models
Gustavo A. L. Forão, Fernando S. Filho, André P. Vieira +3
Spontaneous symmetry breaking occurs in various equilibrium and nonequilibrium systems, where phase transitions are typically marked by a single critical point that separates order…
Multiscale nonlinear integration drives accurate encoding of input information
Giorgio Nicoletti, Daniel M. Busiello
Biological and artificial systems encode information through several complex nonlinear operations, making their exact study a formidable challenge. These internal mechanisms often…
Information interference driven by environmental activity
Giorgio Nicoletti, Daniel M. Busiello
Real-world systems are shaped by both their complex internal interactions and the changes in their noisy environments. In this work, we study how a shared active bath affects the s…
Thermodynamic Space of Chemical Reaction Networks
Shiling Liang, Paolo De Los Rios, Daniel Maria Busiello
Living systems operate out of equilibrium, continuously consuming energy to sustain organised, functional states. Their emergent behaviour usually relies on a set of interconnected…
Phase boundaries promote chemical reactions through localized fluxes
Alexandra Shelest, Hugo Le Roy, Daniel M. Busiello +1
One of the hypothesized functions of biomolecular condensates is to act as chemical reactors, where chemical reactions can be modulated, i.e. accelerated or slowed down, while subs…
Excitation-inhibition balance controls information encoding in neural populations
Giacomo Barzon, Daniel Maria Busiello, Giorgio Nicoletti
Understanding how the complex connectivity structure of the brain shapes its information-processing capabilities is a long-standing question. By focusing on a paradigmatic architec…
Information propagation in Gaussian processes on multilayer networks
Giorgio Nicoletti, Daniel Maria Busiello
Complex systems with multiple processes evolving on different temporal scales are naturally described by multilayer networks, where each layer represents a different timescale. In…
Tuning transduction from hidden observables to optimize information harvesting
Giorgio Nicoletti, Daniel Maria Busiello
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…