Tootfinder

Anonymous leadership and stochastic resonance in collectives of self-propelled robots
Manuel Dizenhaus, Franco De Simone, German A. Patterson
https://arxiv.org/abs/2510.12580 ht…

Anonymous leadership and stochastic resonance in collectives of self-propelled robots
We investigate the influence of an anonymous leader on a collective of self-propelled robots using Kilobot experiments and numerical simulations. A single leader alternated deterministically between clockwise and counterclockwise motion, while the other robots followed a stochastic majority rule. Although the leader does not change global order, it induces correlations with the collective response that peak at intermediate perturbation levels, resembling stochastic resonance. Simulations confir…

What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data
J. E. M. Scanlon, A. Pelzer, M. Gharleghi, K. C. Fuhrmeister, T. K\"ollmer, P. Aichroth, R. G\"oder, C. Hansen, K. I. Wolf
https://arxiv.org/abs/2510.04984

What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data
Electroencephalogram monitoring devices and online data repositories hold large amounts of data from individuals participating in research and medical studies without direct reference to personal identifiers. This paper explores what types of personal and health information have been detected and classified within task-free EEG data. Additionally, we investigate key characteristics of the collected resting-state and sleep data, in order to determine the privacy risks involved with openly availa…

Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives
Giorgio Fabbri, Silvia Faggian, Salvatore Federico, Fausto Gozzi
https://arxiv.org/abs/2509.19909

Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives
This survey collects, within a unified framework, various results (primarily by the authors themselves) on the use of Deterministic Infinite-Dimensional Optimal Control Theory to address applied economic models. The main aim is to illustrate, through several examples, the typical features of such models (including state constraints, non-Lipschitz data, and non-regularizing differential operators) and the corresponding methods needed to handle them. This necessitates developing aspects of the ex…