Healthy brains exhibit a rich dynamic repertoire with flexible and diverse spatiotemporal pattern replays across microscopic and macroscopic scales.We hypothesize that the system must operate near a critical regime for the functional repertoire to be fully explored, and flexible dynamics to emerge.To test this hypothesis, we employ a modular Spiking Neuronal Network model, where each group of...
Leveraging the large body of work devoted in recent years to describe redundancy and synergy in higher order interactions among random variables, we propose an adaptive version of a well- known metric of feature importance, named Leave One Covariate Out (LOCO), to disentangle high- order effects involving a given input feature in regression problems. Applications to biological data sets will...
Heterogeneous and complex networks represent the intertwined interactions between real-world elements or agents. Determining the multi-scale mesoscopic organization of clusters and inter- twined structures is still a fundamental and open problem of complex network theory. By taking advantage of the recent Laplacian Renormalization Group [1-4] approach , we scrutinize informa- tion diffusion...
Protein fitness landscapes frequently exhibit epistasis, where the effect of a mutation depends on the genetic context, i.e., the rest of the protein sequence. Epistasis increases landscape complexity, often resulting in multiple fitness peaks. In its simplest form, known as global epistasis, fitness is modeled as a non-linear function of an underlying additive trait. In contrast, more complex...
