activity
20142026
most citedTuring patterns in multiplex networks

162 citations · 693 across the 50 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cond-mat.stat-mech2024★ 1 cited

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…

cond-mat.stat-mech2024

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…

cond-mat.stat-mech2024

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…

cond-mat.stat-mech2024

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…

physics.bio-ph2024

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…

cond-mat.stat-mech2024★ 1 cited

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…

cond-mat.stat-mech2024★ 5 cited

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…

cond-mat.stat-mech2024★ 20 cited

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…