41 citations · 171 across the 10 of their papers we have counts for
8 papers · 1 filter
Information and Criticality in Complex Stochastic Systems
Giorgio Nicoletti
This Thesis explores how tools from Statistical Physics and Information Theory can help us describe and understand complex systems. In the first part, we study the interplay betwee…
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…
Mutual information in changing environments: non-linear interactions, out-of-equilibrium systems, and continuously-varying diffusivities
Giorgio Nicoletti, Daniel Maria Busiello
Biochemistry, ecology, and neuroscience are examples of prominent fields aiming at describing interacting systems that exhibit non-trivial couplings to complex, ever-changing envir…
Information-driven transitions in projections of underdamped dynamics
Giorgio Nicoletti, Amos Maritan, Daniel M. Busiello
Low-dimensional representations of underdamped systems often provide insightful grasps and analytical tractability. Here, we build such representations via information projections,…
The emergence of scale-free fires in Australia
Giorgio Nicoletti, Leonardo Saravia, Fernando Momo +2
Between 2019 and 2020, during the country's hottest and driest year on record, Australia experienced a dramatic bushfire season, with catastrophic ecological and environmental cons…
Mutual information disentangles interactions from changing environments
Giorgio Nicoletti, Daniel Maria Busiello
Real-world systems are characterized by complex interactions of their internal degrees of freedom, while living in ever-changing environments whose net effect is to act as addition…
Disentangling the critical signatures of neural activity
Benedetta Mariani, Giorgio Nicoletti, Marta Bisio +3
The critical brain hypothesis has emerged as an attractive framework to understand neuronal activity, but it is still widely debated. In this work, we analyze data from a multi-ele…
Testing the critical brain hypothesis using a phenomelogical renormalization group
Giorgio Nicoletti, Samir Suweis, Amos Maritan
We present a systematic study to test a recently introduced phenomenological renormalization group, proposed to coarse-grain data of neural activity from their correlation matrix.…