UCR

Fabio Pasqualetti

Associate Professor, University of California at Riverside

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  Year
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | View all

  Topic
Learning for control
Cyber-physical security
Network analysis and design
Distributed control/estimation
Network neuroscience
Smart power grid
Robotic patrolling/surveillance

  Co-author
R. Anguluri
G. Baggio
D. S. Bassett
R. Betzel
G. Bianchin
A. Bicchi
F. Bullo
R. Carli
F. Celi
J. Cortés
F. Dörfler
A. Franchi
P. Frasca
A. Gasparri
S. Grafton
A. A. Al Makdah
S. Gu
V. Gupta
V. Katewa
V. Krishnan
J. D. Medaglia
T. Menara
S. F. Muldoon
H. Mohsenian-Rad
Y. Qin
S. Zampieri
S. Zhao
Q. Zhu

Journal Articles

  1. Z. Cui and J. Stiso and G. L. Baum and J. Z. Kim and D. R. Roalf and R. F. Betzel and S. Gu and Z. Lu and C. H. Xia and R. Ciric and T. M. Moore and R. T. Shinohara and K. Ruparel and C. Davatzikos and F. Pasqualetti and R. E. Gur and R. C. Gur and D. S. Bassett and T. D. Satterthwaite, Optimization of Energy State Transition Trajectory Supports the Development of Executive Function During Youth. eLife, 9:e53060, 2020. [PDF]
  2. F. Pasqualetti and S. Gu and D. S. Bassett, RE: Warnings and caveats in brain controllability. NeuroImage, 197:586-588, 2019.
  3. E. Wu-Yan and R. F. Betzel and E. Tang and S. Gu and F. Pasqualetti and D. S. Bassett, Benchmarking measures of network controllability on canonical graph models. Journal of Nonlinear Science, 1-39, 2018. [PDF]
  4. S. Gu and M. Cieslak and B. Baird and S. F. Muldoon and S. T. Grafton and F. Pasqualetti and D. S. Bassett, The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure. Scientific Reports, 8(2507):2018. [PDF]
  5. L. Wiles and S. Gu and F. Pasqualetti and D. S Bassett and D. F. Meaney, Autaptic Connections Shift Network Excitability and Bursting. Scientific Reports, 7(44006):2017. [PDF]
  6. J. D. Medaglia and S. Gu and F. Pasqualetti and R. L. Ashare and C. Lerman and J. Kable and D. S. Bassett, Cognitive Control in the Controllable Connectome. Arxiv, 2017.
  7. S. Gu and R. F. Betzel and M. G. Mattar and M. Cieslak and P. R. Delio and S. T. Grafton and F. Pasqualetti and D. S. Bassett, Optimal trajectories of brain state transitions. NeuroImage, 148:305-317, 2017.
  8. R. F. Betzel and S. Gu and J. D. Medaglia and F. Pasqualetti and D. S. Bassett, Optimally controlling the human connectome: the role of network topology. Scientific Reports, 6:30770, 2016. [PDF]
  9. S. F. Muldoon and F. Pasqualetti and S. Gu and M. Cieslak and S. T. Grafton and J. M. Vettel and D. S. Bassett, Stimulation-based control of dynamic brain networks. PLoS Computational Biology, 12(9):e1005076, 2016. [PDF]
  10. S. Gu and F. Pasqualetti and M. Cieslak and Q. K. Telesford and B. Y. Alfred and A. E. Kahn and J. D. Medaglia and J. M. Vettel and M. B. Miller and S. T. Grafton and D. S. Bassett, Controllability of structural brain networks. Nature Communications, 6:2015. [PDF]

Conference Articles

Book Chapters

Fabio Pasqualetti - University of California at Riverside