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 …

Role of graph architecture in controlling dynamical networks with applications to neural systems

JZ Kim, JM Soffer, AE Kahn, JM Vettel, F Pasqualetti… - Nature physics, 2018 - nature.com
Networked systems display complex patterns of interactions between components. In
physical networks, these interactions often occur along structural connections that link …

A practical guide to methodological considerations in the controllability of structural brain networks

TM Karrer, JZ Kim, J Stiso, AE Kahn… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Predicting how the brain can be driven to specific states by means of internal or
external control requires a fundamental understanding of the relationship between neural …

[图书][B] Neural control engineering: the emerging intersection between control theory and neuroscience

SJ Schiff - 2011 - books.google.com
How powerful new methods in nonlinear control engineering can be applied to
neuroscience, from fundamental model formulation to advanced medical applications. Over …

Stimulation-based control of dynamic brain networks

SF Muldoon, F Pasqualetti, S Gu… - PLoS computational …, 2016 - journals.plos.org
The ability to modulate brain states using targeted stimulation is increasingly being
employed to treat neurological disorders and to enhance human performance. Despite the …

Models of communication and control for brain networks: distinctions, convergence, and future outlook

P Srivastava, E Nozari, JZ Kim, H Ju, D Zhou… - Network …, 2020 - direct.mit.edu
Recent advances in computational models of signal propagation and routing in the human
brain have underscored the critical role of white-matter structure. A complementary …

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 …

[HTML][HTML] Optimal trajectories of brain state transitions

S Gu, RF Betzel, MG Mattar, M Cieslak, PR Delio… - NeuroImage, 2017 - Elsevier
The complexity of neural dynamics stems in part from the complexity of the underlying
anatomy. Yet how white matter structure constrains how the brain transitions from one …

Controllability of structural brain networks

S Gu, F Pasqualetti, M Cieslak, QK Telesford… - Nature …, 2015 - nature.com
Cognitive function is driven by dynamic interactions between large-scale neural circuits or
networks, enabling behaviour. However, fundamental principles constraining these dynamic …

A stable brain from unstable components: Emerging concepts and implications for neural computation

AR Chambers, S Rumpel - Neuroscience, 2017 - Elsevier
Neuroscientists have often described the adult brain in similar terms to an electronic circuit
board–dependent on fixed, precise connectivity. However, with the advent of technologies …