Institute for Complex Systems

Multi-Channel Neighborhood-Constrained Variational Mode Decomposition

In many multi-channel engineering problems, the information relevant to the task is concentrated in one channel, while the other information plays an auxiliary role. In forecasting, the quantity to be predicted is the primary source of information and the covariates support it; i...

Anomalous Transport in the Fermi-Pasta-Ulam-Tsingou Model: A Review and Open Problems

Abstract This review provides an up-to-date account of energy transport in Fermi-Pasta-Ulam-Tsingou (FPUT) chains, a key testbed for nonequilibrium statistical physics. We discuss the transition from the historical puzzle of thermalization to the discovery of anomalous heat trans...

Deciphering Molecular Charge Anisotropy: The Case of Antibody Solutions

Electrostatic interactions fundamentally govern the structure, stability, and dynamics of charged (bio)matter, yet the impact of heterogeneous and anisotropic charge distributions on the behavior of protein solutions remains elusive. Here, we introduce a versatile multiscale fram...

Spin-based modelling of perception as emergent from contextualized internal evaluation

Abstract We develop a microscopic model of perception of an interoceptive sensation in which spin-like variables encode an organism's internal evaluation of embodied vital norms associated with the sensation. Spins can take positive, negative or neutral values. These local evalua...

Growth of small localised perturbations in surface quasi-geostrophic turbulence

The butterfly effect, namely the amplification of an initially localised infinitesimal perturbation, is a fundamental hallmark of chaotic systems. While this phenomenon is well understood in low-dimensional chaotic systems, its implications become more complex in spatially extend...

Compact latent-space encoding of WGM microlaser spectra for fast and accurate sensing

The synergy between resonant photonics and artificial intelligence is emerging as a new paradigm capable of overcoming long-standing limitations of conventional methods used to analyze measurement outcomes. Automated data analysis is a crucial step in the development of fast, rel...

Spin Waves without Spin Waves: A Case for Soliton Propagation in Starling Flocks

Collective turns in starling flocks propagate linearly with negligible attenuation, indicating the existence of an underdamped sector in the dispersion relation. According to linear response theory, beside granting linear propagation of the phase perturbations, the real part of t...

International Comparison of Ambulance Time Intervals for Suspected Stroke/Transient Ischemic Attack Across 7 Emergency Medical Services Before and During the COVID‐19 Pandemic

BACKGROUND: International reports highlight the COVID-19 pandemic's wide-ranging impacts on time-sensitive conditions, including stroke/transient ischemic attack (TIA). Comparing ambulance time intervals globally offers insights into COVID-19's effects on different health care sy...

Metastability from recurrence analysis in depression

Abstract This study investigates recurrent patterns in Ecological Momentary Assessment (EMA) data from a single-case longitudinal study (239 days) of a patient diagnosed with major depressive disorder undergoing antidepressant dosage adjustments. We construct a dynamic network ba...

AI agents can coordinate via majority-following beyond human scale

Large language models (LLMs) are increasingly deployed in collaborative tasks forming “AI agent societies” where agents interact and influence one another. Whether such groups can spontaneously coordinate without external influence, a hallmark of self-organized regulation in huma...