162 citations · 693 across the 50 of their papers we have counts for
50 papers
Human mutation field reveals an equilibrium-like structure with irreversible circulation
Isabella Caranzano, Daniel Maria Busiello, Stefano Priorelli +2
The evolution of DNA sequences can be viewed as stochastic dynamics on a high-dimensional discrete space, but it is unclear when empirical transition biases reduce to an effective…
Refining Unified Colored-Noise Approximation
Alessandro Corso, Daniel M. Busiello
Countless biological and physical systems experience fluctuations that exhibit non-trivial temporal correlations. The Unified Colored-Noise Approximation (UCNA) is a framework prov…
Universal thermokinetic decomposition of short-time information fluctuations
Giorgio Nicoletti, Daniel M. Busiello
Biological, artificial, and physical systems dissipate energy to accurately transmit information. While tools of information theory have been used to characterize information-proce…
Emergence of information interference in stochastic systems with non-diagonal noise and switching environments
Andrea Marchetti, Daniel Maria Busiello, Giorgio Nicoletti
Stochastic forces in natural systems are rarely isotropic. From hydrodynamically coupled colloids to chemical reaction networks, noise contributions are inherently correlated. Toge…
Non-equilibrium symmetry of cyclic first-passage times
Daniel Maria Busiello, Shiling Liang, Simone Pigolotti
We study the sum of first passage times along an arbitrary cycle made up of N>2 states of a small physical system. We show that, if the system is at thermodynamic equilibrium, this…
Balancing information and dissipation with partially observed fluctuating signals
Giorgio Nicoletti, Ivan Di Terlizzi, Daniel Maria Busiello
Biological systems sense and extract information from fluctuating signals while operating under energetic constraints and limited resolution. We introduce a general chemical model…
Plasticity-induced multistability on fast and slow timescales enables optimal information encoding and spontaneous sequence discrimination
Giacomo Barzon, Daniel M. Busiello, Giorgio Nicoletti
Neural circuits exhibit remarkable computational flexibility, enabling adaptive responses to noisy and ever-changing environmental cues. A fundamental question in neuroscience conc…
Stochastic processes with multiple temporal scales: timescale separation and information
Giorgio Nicoletti, Daniel M. Busiello
Complex systems are often characterized by the interplay of multiple interconnected dynamical processes operating across a range of temporal scales. This phenomenon is widespread i…
Excess dissipation shapes symmetry breaking in non-equilibrium currents
Matteo Sireci, Luca Peliti, Daniel Maria Busiello
Most natural thermodynamic systems operate far from equilibrium, developing persistent currents and organizing into non-equilibrium stationary states (NESSs). Yet, the principles b…
Phase behavior of Cacio e Pepe sauce
Giacomo Bartolucci, Daniel Maria Busiello, Matteo Ciarchi +5
``Pasta alla Cacio e pepe'' is a traditional Italian dish made with pasta, pecorino cheese, and pepper. Despite its simple ingredient list, achieving the perfect texture and creami…
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…
Information propagation in multilayer systems with higher-order interactions across timescales
Giorgio Nicoletti, Daniel Maria Busiello
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 la…
A Minimal Model for Carnot Efficiency at Maximum Power
Shiling Liang, Yu-Han Ma, Daniel Maria Busiello +1
Carnot efficiency sets a fundamental upper bound on the heat engine efficiency, attainable in the quasi-static limit, albeit at the cost of completely sacrificing power output. In…
Unraveling active baths through their hidden degrees of freedom
Daniel Maria Busiello, Matteo Ciarchi, Ivan Di Terlizzi
The dynamics of a probe particle is highly influenced by the nature of the bath in which it is immersed. In particular, baths composed by active (e.g., self-propelled) particles in…
Optimal information gain at the onset of habituation to repeated stimuli
Giorgio Nicoletti, Matteo Bruzzone, Samir Suweis +2
Biological and living systems process information across spatiotemporal scales, exhibiting the hallmark ability to constantly modulate their behavior to ever-changing and complex e…
Powerful ordered collective heat engines
Fernando S. Filho, Gustavo A. L. Forão, D. M. Busiello +2
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 composed of …
Thermodynamic Bounds on Symmetry Breaking in Linear and Catalytic Biochemical Systems
Shiling Liang, Paolo De Los Rios, Daniel Maria Busiello
Living systems are maintained out-of-equilibrium by external driving forces. At stationarity, they exhibit emergent selection phenomena that break equilibrium symmetries and origin…