3 papers
q-bio.NC2026
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…
q-bio.NC2025
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…
q-bio.QM2025
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…