29 citations · 55 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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…