3 papers
q-bio.NC2026
Data-driven inference of brain dynamical states from the r-spectrum of correlation matrices
Christopher Gabaldon, Adria Mulero, Rong Wang +6
We present a data-driven framework to characterize large-scale brain dynamical states directly from correlation matrices at the single-subject level. By treating correlation thresh…
cond-mat.dis-nn2025
Finite-time scaling on low-dimensional map bifurcations
Daniel A. Martin, Qian-Yuan Tang, Dante R. Chialvo
Recent work has introduced the concept of finite-time scaling to characterize bifurcation diagrams at finite times in deterministic discrete dynamical systems, drawing an analogy w…
physics.comp-ph2025
Behavior of the scaling correlation functions under severe subsampling
Sabrina Camargo, Nahuel Zamponi, Daniel A. Martin +4
Scale-invariance is a ubiquitous observation in the dynamics of large distributed complex systems. The computation of its scaling exponents, which provide clues on its origin, is o…