8 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…