The physics of brain network structure, function and control

CW Lynn, DS Bassett - Nature Reviews Physics, 2019 - nature.com
The brain is characterized by heterogeneous patterns of structural connections supporting
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …

Control principles of complex systems

YY Liu, AL Barabási - Reviews of Modern Physics, 2016 - APS
A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

Network control principles predict neuron function in the Caenorhabditis elegans connectome

G Yan, PE Vértes, EK Towlson, YL Chew, DS Walker… - Nature, 2017 - nature.com
Recent studies on the controllability of complex systems offer a powerful mathematical
framework to systematically explore the structure–function relationship in biological, social …

[HTML][HTML] Network resilience

X Liu, D Li, M Ma, BK Szymanski, HE Stanley, J Gao - Physics Reports, 2022 - Elsevier
Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …

Data based identification and prediction of nonlinear and complex dynamical systems

WX Wang, YC Lai, C Grebogi - Physics Reports, 2016 - Elsevier
The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

Structure-based control of complex networks with nonlinear dynamics

JGT Zañudo, G Yang, R Albert - Proceedings of the …, 2017 - National Acad Sciences
What can we learn about controlling a system solely from its underlying network structure?
Here we adapt a recently developed framework for control of networks governed by a broad …

Spectrum of controlling and observing complex networks

G Yan, G Tsekenis, B Barzel, JJ Slotine, YY Liu… - Nature Physics, 2015 - nature.com
Recent studies have made important advances in identifying sensor or driver nodes, through
which we can observe or control a complex system. But the observational uncertainty …

Colloquium: Control of dynamics in brain networks

E Tang, DS Bassett - Reviews of modern physics, 2018 - APS
The ability to effectively control brain dynamics holds great promise for the enhancement of
cognitive function in humans and the betterment of their quality of life. Yet, successfully …

Engagement of pulvino-cortical feedforward and feedback pathways in cognitive computations

J Jaramillo, JF Mejias, XJ Wang - Neuron, 2019 - cell.com
Computational modeling of brain mechanisms of cognition has largely focused on the
cortex, but recent experiments have shown that higher-order nuclei of the thalamus …

Advances in network controllability

L Xiang, F Chen, W Ren, G Chen - IEEE Circuits and Systems …, 2019 - ieeexplore.ieee.org
The last decade has seen an explosion of research in network controllability. The present
article reviews some basic concepts, significant progress, important results and recent …