3 citations · 12 across the 8 of their papers we have counts for
9 papers
gPC-based robustness analysis of neural systems through probabilistic recurrence metrics
Uros Sutulovic, Daniele Proverbio, Rami Katz +1
Neuronal systems often preserve their characteristic functions and signalling patterns, also referred to as regimes, despite parametric uncertainties and variations. For neural mod…
Robustness and resilience of dynamical networks in biology and epidemiology
Daniele Proverbio, Rami Katz, Giulia Giordano
Natural systems are remarkably robust and resilient, maintaining essential functions despite variability, uncertainty, and hostile conditions. Understanding these nonlinear, dynami…
Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiators
Uros Sutulovic, Daniele Proverbio, Rami Katz +1
Reconstructing the attractors of complex nonlinear dynamical systems from available measurements is key to analyse and predict their time evolution. Existing attractor reconstructi…
Threshold sensing yields optimal path formation in Physarum polycephalum
Daniele Proverbio, Giulia Giordano
The model organism Physarum polycephalum is known to perform decentralised problem solving despite absence of nervous system. Experimental evidence and modelling studies have linke…
Recent trends in socio-epidemic modelling: behaviours and their determinants
Daniele Proverbio, Riccardo Tessarin, Giulia Giordano
The spreading dynamics of infectious diseases is influenced by individual behaviours, which are in turn affected by the level of awareness about the epidemic. Modelling the co-evol…
Resilience of the positive gene autoregulation loop
Daniele Proverbio, Giulia Giordano
Gene expression in response to stimuli is regulated by transcription factors (TFs) through feedback loop motifs, aimed at maintaining the desired TF concentration despite uncertain…
Bottom-up robust modeling for the foraging behavior of Physarum polycephalum
Damiano Reginato, Daniele Proverbio, Giulia Giordano
The true slime mold \textit{Physarum polycephalum} has the remarkable capability to perform self-organized activities such as network formation among food sources. Despite well rep…
Data informed epidemiological-behavioural modelling
Daniele Proverbio, Riccardo Tessarin, Giulia Giordano
Augmenting classical epidemiological models with information from the social sciences helps unveil the interplay between contagion dynamics and social responses. However, multidisc…
Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience
Uros Sutulovic, Daniele Proverbio, Rami Katz +1
Robustness analysis is very important in biology and neuroscience, to unravel behavioural patterns of systems that are conserved despite large parametric uncertainties. To make stu…