Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Synchronization in multiplex networks

X Wu, X Wu, CY Wang, B Mao, J Lu, J Lü, YC Zhang… - Physics Reports, 2024 - Elsevier
Synchronization in a network of connected elements is essential to the proper functioning of
both natural and engineered systems and is thus of increasing interest across disciplines. In …

The structure and dynamics of multilayer networks

S Boccaletti, G Bianconi, R Criado, CI Del Genio… - Physics reports, 2014 - Elsevier
In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

[HTML][HTML] Attractor reconstruction by machine learning

Z Lu, BR Hunt, E Ott - Chaos: An Interdisciplinary Journal of Nonlinear …, 2018 - pubs.aip.org
A machine-learning approach called “reservoir computing” has been used successfully for
short-term prediction and attractor reconstruction of chaotic dynamical systems from time …

[图书][B] Synchronization: from coupled systems to complex networks

S Boccaletti, AN Pisarchik, CI Del Genio, A Amann - 2018 - books.google.com
A modern introduction to synchronization phenomena, this text presents recent discoveries
and the current state of research in the field, from low-dimensional systems to complex …

Explosive transitions in complex networks' structure and dynamics: Percolation and synchronization

S Boccaletti, JA Almendral, S Guan, I Leyva, Z Liu… - Physics Reports, 2016 - Elsevier
Percolation and synchronization are two phase transitions that have been extensively
studied since already long ago. A classic result is that, in the vast majority of cases, these …

Complex networks: Structure and dynamics

S Boccaletti, V Latora, Y Moreno, M Chavez… - Physics reports, 2006 - Elsevier
Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

Recurrence plots for the analysis of complex systems

N Marwan, MC Romano, M Thiel, J Kurths - Physics reports, 2007 - Elsevier
Recurrence is a fundamental property of dynamical systems, which can be exploited to
characterise the system's behaviour in phase space. A powerful tool for their visualisation …

The synchronization of chaotic systems

S Boccaletti, J Kurths, G Osipov, DL Valladares… - Physics reports, 2002 - Elsevier
Synchronization of chaos refers to a process wherein two (or many) chaotic systems (either
equivalent or nonequivalent) adjust a given property of their motion to a common behavior …

From phase to lag synchronization in coupled chaotic oscillators

MG Rosenblum, AS Pikovsky, J Kurths - Physical Review Letters, 1997 - APS
We study synchronization transitions in a system of two coupled self-sustained chaotic
oscillators. We demonstrate that with the increase of coupling strength the system first …