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Trends in Cognitive Sciences|November 20, 2018
Spatial Embedding Imposes Constraints on Neuronal Network ArchitecturesJennifer Stiso, Danielle S BassettChaos (Woodbury, N.Y.)|July 3, 2020
Invertible generalized synchronization: A putative mechanism for implicit learning in neural systemsZhixin Lu, Danielle S BassettNetwork Neuroscience (Cambridge, Mass.)|September 15, 2018
Editorial: New Trends in ConnectomicsOlaf Sporns, Danielle S BassettPlos Computational Biology|September 23, 2017
Limited synapse overproduction can speed development but sometimes with long-term energy and discrimination penaltiesHarang Ju, Costa M Colbert, William B LevyAnnual Review of Clinical Psychology|December 7, 2010
Brain graphs: graphical models of the human brain connectomeEdward T Bullmore, Danielle S BassettProceedings of the National Academy of Sciences of the United States of America|August 5, 2021
Quantifying the compressibility of complex networksChristopher W Lynn, Danielle S BassettTrends in Cognitive Sciences|March 6, 2017
A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and BehaviorDanielle S Bassett, Marcelo G MattarJournal of the Royal Society, Interface|December 1, 2017
Generative models for network neuroscience: prospects and promiseRichard F Betzel, Danielle S BassettNeuron|August 2, 2016
A Powerful DREADD: Revealing Structural Drivers of Functional DynamicsAnkit N Khambhati, Danielle S BassettPhysical Review. E|June 25, 2020
Reorderability of node-filtered order complexesAnn Sizemore Blevins, Danielle S BassettPageof 30