SupMat for "gPC-based robustness analysis of neural systems through probabilistic recurrence metrics"

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Uros Sutulovic, Daniele Proverbio, Rami Katz, Giulia Maria Giordano
DOI: 10.5281/zenodo.18172215
Cited by: 0

Abstract

Supplementary material for the paper "Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiators" by U. Sutulovic, D. Proverbio, R. Katz, and G. Giordano.

Fields of Study & Subjects

Neural Networks and Applications Neural Networks Stability and Synchronization Neural dynamics and brain function

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026