2020
DOI: 10.1109/tcns.2020.2978118
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Network Design for Controllability Metrics

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Cited by 11 publications
(5 citation statements)
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“…The biophysical realism of the causal claims will depend on the validity of the dynamical model, which can be determined through methods of system identification ( Srivastava et al, 2020 ). Finally, we note that within this setup, one can consider alternative dynamical models ( Cornelius et al, 2013 ; Morrison and Kutz, 2021 ; Zañudo et al, 2017 ), alternative connectome definitions ( Karrer et al, 2020 ; Stiso et al, 2020 ; Yan et al, 2017 ), directed connections ( Kim et al, 2018 ), control of edges rather than nodes ( Becker et al, 2020 ), and alternative modulating variables including gray matter, neurotransmitters, and cognitive or dynamical state ( Cornblath et al, 2020 ; Jamalabadi et al, 2021 ; Scheid et al, 2020 ; Singleton et al, 2021 ; Zarkali et al, 2021 ).…”
Section: Perturbative Network Neurosciencementioning
confidence: 99%
“…The biophysical realism of the causal claims will depend on the validity of the dynamical model, which can be determined through methods of system identification ( Srivastava et al, 2020 ). Finally, we note that within this setup, one can consider alternative dynamical models ( Cornelius et al, 2013 ; Morrison and Kutz, 2021 ; Zañudo et al, 2017 ), alternative connectome definitions ( Karrer et al, 2020 ; Stiso et al, 2020 ; Yan et al, 2017 ), directed connections ( Kim et al, 2018 ), control of edges rather than nodes ( Becker et al, 2020 ), and alternative modulating variables including gray matter, neurotransmitters, and cognitive or dynamical state ( Cornblath et al, 2020 ; Jamalabadi et al, 2021 ; Scheid et al, 2020 ; Singleton et al, 2021 ; Zarkali et al, 2021 ).…”
Section: Perturbative Network Neurosciencementioning
confidence: 99%
“…Then, in a second step, the set of parameters are determined such that they minimize/maximize a desirable objective. For instance, consider the following three possible applications: (i) in Becker, Pequito, Pappas, and Preciado (2020), the authors use structural systems to ensure that for almost all set of parameters, controllability would be guaranteed to determine a set of perturbations in the dynamics that improve the controllability energy (see Section 2.2); (ii) in Pequito et al (2018), the authors guarantee generic stabilizability properties for the decentralized control, and then an iterative procedure is considered to find a set of parameters that stabilize the plantsee Remark 4; and (iii) in Pequito, Preciado, and Pappas (2015), the authors determine a fully distributed leader selection to attain controllability. In this case, the problem is decomposed into two procedures: (1) determination of the leaders that attain structural controllability; and (2) computation of a set of parameters for the local interactions that ensure (non-structural) controllability of the network.…”
Section: Conclusion and Future Research Directionsmentioning
confidence: 99%
“…Then, we determine the set of parameters that minimize/maximize a desirable objective. For instance, consider the following three possible applications: (i) in [262], the authors use structural systems to ensure that for almost all set of parameters stability and controllability would be guaranteed to determine a set of perturbations in the dynamics that improve the controllability energy (see Section 2.2); (ii) in [60], the authors guarantee generic stabilizability properties for the decentralized control, and then an iterative procedure is considered to find a set of parameters that stabilize the plant -see Remark 6; and (iii) in [25], towards determining a fully distributed leader selection to attain controllability. They decompose the problem into two.…”
Section: Conclusion and Future Research Directionsmentioning
confidence: 99%