Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Fumagalli, Roberto
2017.
On the neural enrichment of economic models: recasting the challenge.
Biology & Philosophy,
Vol. 32,
Issue. 2,
p.
201.
Bassett, Danielle S.
and
Khambhati, Ankit N.
2017.
A network engineering perspective on probing and perturbing cognition with neurofeedback.
Annals of the New York Academy of Sciences,
Vol. 1396,
Issue. 1,
p.
126.
De Domenico, Manlio
2017.
Multilayer modeling and analysis of human brain networks.
GigaScience,
Vol. 6,
Issue. 5,
Betzel, Richard F.
Satterthwaite, Theodore D.
Gold, Joshua I.
and
Bassett, Danielle S.
2017.
Positive affect, surprise, and fatigue are correlates of network flexibility.
Scientific Reports,
Vol. 7,
Issue. 1,
Betzel, Richard F.
and
Bassett, Danielle S.
2017.
Multi-scale brain networks.
NeuroImage,
Vol. 160,
Issue. ,
p.
73.
Bassett, Danielle S.
Khambhati, Ankit N.
and
Grafton, Scott T.
2017.
Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.
Annual Review of Biomedical Engineering,
Vol. 19,
Issue. 1,
p.
327.
De Brigard, Felipe
2017.
Cognitive systems and the changing brain.
Philosophical Explorations,
Vol. 20,
Issue. 2,
p.
224.
Majhi, Soumen
Perc, Matjaž
and
Ghosh, Dibakar
2017.
Chimera states in a multilayer network of coupled and uncoupled neurons.
Chaos: An Interdisciplinary Journal of Nonlinear Science,
Vol. 27,
Issue. 7,
Braun, Urs
Schaefer, Axel
Betzel, Richard F.
Tost, Heike
Meyer-Lindenberg, Andreas
and
Bassett, Danielle S.
2018.
From Maps to Multi-dimensional Network Mechanisms of Mental Disorders.
Neuron,
Vol. 97,
Issue. 1,
p.
14.
Larrivee, Denis
2018.
Evolving BCI Therapy - Engaging Brain State Dynamics.
Slavakis, Konstantinos
Salsabilian, Shiva
Wack, David S.
Muldoon, Sarah F.
Baidoo-Williams, Henry E.
Vettel, Jean M.
Cieslak, Matthew
and
Grafton, Scott T.
2018.
Clustering Brain-Network Time Series by Riemannian Geometry.
IEEE Transactions on Signal and Information Processing over Networks,
Vol. 4,
Issue. 3,
p.
519.
Muldoon, Sarah F.
Costantini, Julia
Webber, W.R.S.
Lesser, Ronald
and
Bassett, Danielle S.
2018.
Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort.
NeuroImage: Clinical,
Vol. 18,
Issue. ,
p.
599.
Huneman, Philippe
2018.
Biological Robustness.
Vol. 23,
Issue. ,
p.
95.
Garcia, Javier O.
Ashourvan, Arian
Muldoon, Sarah
Vettel, Jean M.
and
Bassett, Danielle S.
2018.
Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function.
Proceedings of the IEEE,
Vol. 106,
Issue. 5,
p.
846.
Pedersen, Mangor
Zalesky, Andrew
Omidvarnia, Amir
and
Jackson, Graeme D.
2018.
Multilayer network switching rate predicts brain performance.
Proceedings of the National Academy of Sciences,
Vol. 115,
Issue. 52,
p.
13376.
Markett, Sebastian
Wudarczyk, Olga A.
Biswal, Bharat B.
Jawinski, Philippe
and
Montag, Christian
2018.
Affective Network Neuroscience.
Frontiers in Neuroscience,
Vol. 12,
Issue. ,
Yu, Qingbao
Du, Yuhui
Chen, Jiayu
Sui, Jing
Adali, Tulay
Pearlson, Godfrey D.
and
Calhoun, Vince D.
2018.
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proceedings of the IEEE,
Vol. 106,
Issue. 5,
p.
886.
Kostić, Daniel
2018.
The topological realization.
Synthese,
Vol. 195,
Issue. 1,
p.
79.
Bansal, Kanika
Nakuci, Johan
and
Muldoon, Sarah Feldt
2018.
Personalized brain network models for assessing structure–function relationships.
Current Opinion in Neurobiology,
Vol. 52,
Issue. ,
p.
42.
Gosak, Marko
Markovič, Rene
Dolenšek, Jurij
Slak Rupnik, Marjan
Marhl, Marko
Stožer, Andraž
and
Perc, Matjaž
2018.
Network science of biological systems at different scales: A review.
Physics of Life Reviews,
Vol. 24,
Issue. ,
p.
118.