A validated network of effective amygdala connectivity. - Jason L. Stein; Lisa M. Wiedholz; Danielle S. Bassett; Daniel R. Weinberger; Caroline F. Zink; Venkata S. Mattay; Andreas Meyer-Lindenberg (NeuroImage, 2007)

Corrigendum to "A validated network of effective amygdala connectivity" [NeuroImage 36 (2007) 736-745]. - Jason L. Stein; Lisa M. Wiedholz; Danielle S. Bassett; Daniel R. Weinberger; Caroline F. Zink; Venkata S. Mattay; Andreas Meyer-Lindenberg (NeuroImage, 2008)

Generic aspects of complexity in brain imaging data and other biological systems. - Ed Bullmore; Anna Barnes; Danielle S. Bassett; Alex Fornito; Manfred G. Kitzbichler; David Meunier; John Suckling (NeuroImage, 2009)

Reproducibility of graph metrics of human brain functional networks. - Lorena Deuker; Edward T. Bullmore; Marie L. Smith; Søren R. Christensen; Pradeep J. Nathan; Brigitte Rockstroh; Danielle S. Bassett (NeuroImage, 2009)

Efficient Physical Embedding of Topologically Complex Information Processing Networks in Brains and Computer Circuits. - Danielle S. Bassett; Daniel Greenfield; Andreas Meyer-Lindenberg; Daniel R. Weinberger; Simon W. Moore; Edward T. Bullmore (PLoS Comput. Biol., 2010)

Structural drivers of function in information processing networks. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Jean M. Carlson (ACSCC, 2011)

Conserved and variable architecture of human white matter connectivity. - Danielle S. Bassett; Jesse A. Brown; Vibhas Deshpande; Jean M. Carlson; Scott T. Grafton (NeuroImage, 2011)

Learning, Memory, and the Role of Neural Network Architecture. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Jean M. Carlson (PLoS Comput. Biol., 2011)

Graph Theoretical Approaches in Brain Networks. - Fabrizio de Vico Fallani; Danielle S. Bassett; Tianzi Jiang (Comput. Math. Methods Medicine, 2012)

Collective Decision Dynamics in the Presence of External Drivers - Danielle S. Bassett; David L. Alderson; Jean M. Carlson (CoRR, 2012)

Robust Detection of Dynamic Community Structure in Networks - Danielle S. Bassett; Mason A. Porter; Nicholas F. Wymbs; Scott T. Grafton; Jean M. Carlson; Peter J. Mucha (CoRR, 2012)

Altered resting state complexity in schizophrenia. - Danielle S. Bassett; Brent G. Nelson; Bryon A. Mueller; Jazmin Camchong; Kelvin O. Lim (NeuroImage, 2012)

Dynamic network centrality summarizes learning in the human brain. - Alexander V. Mantzaris; Danielle S. Bassett; Nicholas F. Wymbs; Ernesto Estrada; Mason A. Porter; Peter J. Mucha; Scott T. Grafton; Desmond J. Higham (J. Complex Networks, 2013)

Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation - Jean M. Carlson; David L. Alderson; Sean P. Stromberg; Danielle S. Bassett; Emily M. Craparo; Francisco Gutierrez-Villarreal; Thomas Otani (CoRR, 2013)

Task-Based Core-Periphery Organization of Human Brain Dynamics. - Danielle S. Bassett; Nicholas F. Wymbs; M. Puck Rombach; Mason A. Porter; Peter J. Mucha; Scott T. Grafton (PLoS Comput. Biol., 2013)

Controllability of Brain Networks. - Shi Gu; Fabio Pasqualetti; Matthew Cieslak; Scott T. Grafton; Danielle S. Bassett (CoRR, 2014)

Structurally-Constrained Relationships between Cognitive States in the Human Brain. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Elissa M. Aminoff; Amy Frithsen; Arianne Johnson; Christine M. Tipper; Michael B. Miller; Scott T. Grafton; Jean M. Carlson (PLoS Comput. Biol., 2014)

Resolving Structural Variability in Network Models and the Brain. - Florian Klimm; Danielle S. Bassett; Jean M. Carlson; Peter J. Mucha (PLoS Comput. Biol., 2014)

Resolving Anatomical and Functional Structure in Human Brain Organization: Identifying Mesoscale Organization in Weighted Network Representations. - Christian Lohse; Danielle S. Bassett; Kelvin O. Lim; Jean M. Carlson (PLoS Comput. Biol., 2014)

Cognitive Network Neuroscience. - John D. Medaglia; Mary-Ellen Lynall; Danielle S. Bassett (J. Cogn. Neurosci., 2015)

Brain Network Adaptability across Task States. - Elizabeth N. Davison; Kimberly J. Schlesinger; Danielle S. Bassett; Mary-Ellen Lynall; Michael B. Miller; Scott T. Grafton; Jean M. Carlson (PLoS Comput. Biol., 2015)

Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy. - Ankit N. Khambhati; Kathryn A. Davis; Brian S. Oommen; Stephanie H. Chen; Timothy H. Lucas; Brian Litt; Danielle S. Bassett (PLoS Comput. Biol., 2015)

A Functional Cartography of Cognitive Systems. - Marcelo Gomes Mattar; Michael W. Cole; Sharon L. Thompson-Schill; Danielle S. Bassett (PLoS Comput. Biol., 2015)

Structural analysis and design of dynamic-flow networks: Implications in the brain dynamics. - Sérgio Pequito; Ankit N. Khambhati; George J. Pappas; Dragoslav D. Siljak; Danielle S. Bassett; Brian Litt (ACC, 2016)

Two's company, three (or more) is a simplex - Algebraic-topological tools for understanding higher-order structure in neural data. - Chad Giusti; Robert Ghrist; Danielle S. Bassett (J. Comput. Neurosci., 2016)

Graph Frequency Analysis of Brain Signals. - Weiyu Huang; Leah Goldsberry; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; Alejandro Ribeiro (IEEE J. Sel. Top. Signal Process., 2016)

Dissociable changes in functional network topology underlie early category learning and development of automaticity. - Fabian A. Soto; Danielle S. Bassett; F. Gregory Ashby (NeuroImage, 2016)

Detection of functional brain network reconfiguration during task-driven cognitive states. - Qawi K. Telesford; Mary-Ellen Lynall; Jean M. Vettel; Michael B. Miller; Scott T. Grafton; Danielle S. Bassett (NeuroImage, 2016)

Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan. - Elizabeth N. Davison; Benjamin O. Turner; Kimberly J. Schlesinger; Michael B. Miller; Scott T. Grafton; Danielle S. Bassett; Jean M. Carlson (PLoS Comput. Biol., 2016)

Stimulation-Based Control of Dynamic Brain Networks. - Sarah Feldt Muldoon; Fabio Pasqualetti; Shi Gu; Matthew Cieslak; Scott T. Grafton; Jean M. Vettel; Danielle S. Bassett (PLoS Comput. Biol., 2016)

Bode meets Kuramoto: Synchronized clusters in oscillatory networks. - Chiara Favaretto; Danielle S. Bassett; Angelo Cenedese; Fabio Pasqualetti (ACC, 2017)

Spectral control of cortical activity. - Sérgio Pequito; Arian Ashourvan; Danielle S. Bassett; Brian Litt; George J. Pappas (ACC, 2017)

Synchronization patterns in networks of Kuramoto oscillators: A geometric approach for analysis and control. - Lorenzo Tiberi; Chiara Favaretto; Mario Innocenti; Danielle S. Bassett; Fabio Pasqualetti (CDC, 2017)

Brain signal analytics from graph signal processing perspective. - Leah Goldsberry; Weiyu Huang; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; Alejandro Ribeiro (ICASSP, 2017)

Classification of weighted networks through mesoscale homological features. - Ann Sizemore; Chad Giusti; Danielle S. Bassett (J. Complex Networks, 2017)

Rentian scaling for the measurement of optimal embedding of complex networks into physical space. - Megan M. Sperry; Qawi K. Telesford; Florian Klimm; Danielle S. Bassett (J. Complex Networks, 2017)

On Structural Controllability of Symmetric (Brain) Networks. - Tommaso Menara; Shi Gu; Danielle S. Bassett; Fabio Pasqualetti (CoRR, 2017)

The energy landscape underpinning module dynamics in the human brain connectome. - Arian Ashourvan; Shi Gu; Marcelo Gomes Mattar; Jean M. Vettel; Danielle S. Bassett (NeuroImage, 2017)

Multi-scale brain networks. - Richard F. Betzel; Danielle S. Bassett (NeuroImage, 2017)

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. - Rastko Ciric; Daniel H. Wolf; Jonathan D. Power; David R. Roalf; Graham L. Baum; Kosha Ruparel; Russell T. Shinohara; Mark A. Elliott; Simon B. Eickhoff; Christos Davatzikos; Ruben C. Gur; Raquel E. Gur; et al. (NeuroImage, 2017)

Optimal trajectories of brain state transitions. - Shi Gu; Richard F. Betzel; Marcelo Gomes Mattar; Matthew Cieslak; Philip R. Delio; Scott T. Grafton; Fabio Pasqualetti; Danielle S. Bassett (NeuroImage, 2017)

The Structured Controllability Radius of Symmetric (Brain) Networks. - Tommaso Menara; Vaibhav Katewa; Danielle S. Bassett; Fabio Pasqualetti (ACC, 2018)

Characterization of Mental States through Node Connectivity between Brain Signals. - Tiziana Cattai; Stefania Colonnese; Marie-Constance Corsi; Danielle S. Bassett; Gaetano Scarano; Fabrizio de Vico Fallani (EUSIPCO, 2018)

Graph Signal Processing of Human Brain Imaging Data. - Weiyu Huang; Thomas William Arthur Bolton; John D. Medaglia; Danielle S. Bassett; Alejandro Ribeiro; Dimitri Van De Ville (ICASSP, 2018)

Network analysis of particles and grains. - Lia Papadopoulos; Mason A. Porter; Karen E. Daniels; Danielle S. Bassett (J. Complex Networks, 2018)

Sex differences in network controllability as a predictor of executive function in youth. - Eli J. Cornblath; Evelyn Tang; Graham L. Baum; Tyler M. Moore; David R. Roalf; Ruben C. Gur; Raquel E. Gur; Fabio Pasqualetti; Theodore D. Satterthwaite; Danielle S. Bassett (CoRR, 2018)

Surges of collective human activity emerge from simple pairwise correlations. - Christopher W. Lynn; Lia Papadopoulos; Daniel D. Lee; Danielle S. Bassett (CoRR, 2018)

The emergent integrated network structure of scientific research. - Jordan D. Dworkin; Russell T. Shinohara; Danielle S. Bassett (CoRR, 2018)

The landscape of NeuroImage-ing research. - Jordan D. Dworkin; Russell T. Shinohara; Danielle S. Bassett (CoRR, 2018)

Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators. - Tommaso Menara; Giacomo Baggio; Danielle S. Bassett; Fabio Pasqualetti (CoRR, 2018)

Evolution of semantic networks in biomedical texts. - Lucy R. Chai; Danielle S. Bassett (CoRR, 2018)

Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. - Hao-Ting Wang; Jonathan Smallwood; Janaina Mourão Miranda; Cedric Huchuan Xia; Theodore D. Satterthwaite; Danielle S. Bassett; Danilo Bzdok (CoRR, 2018)

Cliques and cavities in the human connectome. - Ann Sizemore; Chad Giusti; Ari E. Kahn; Jean M. Vettel; Richard F. Betzel; Danielle S. Bassett (J. Comput. Neurosci., 2018)

The impact of in-scanner head motion on structural connectivity derived from diffusion MRI. - Graham L. Baum; David R. Roalf; Philip A. Cook; Rastko Ciric; Adon F. G. Rosen; Cedric Xia; Mark A. Elliott; Kosha Ruparel; Ragini Verma; Birkan Tunç; Ruben C. Gur; Raquel E. Gur; et al. (NeuroImage, 2018)

The landscape of NeuroImage-ing research. - Jordan D. Dworkin; Russell T. Shinohara; Danielle S. Bassett (NeuroImage, 2018)

Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. - Ankit N. Khambhati; Marcelo Gomes Mattar; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett (NeuroImage, 2018)

Modeling and interpreting mesoscale network dynamics. - Ankit N. Khambhati; Ann Sizemore; Richard F. Betzel; Danielle S. Bassett (NeuroImage, 2018)

Predicting future learning from baseline network architecture. - Marcelo Gomes Mattar; Nicholas F. Wymbs; Andrew S. Bock; Geoffrey Karl Aguirre; Scott T. Grafton; Danielle S. Bassett (NeuroImage, 2018)

Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment. - John D. Medaglia; Theodore D. Satterthwaite; Apoorva Kelkar; Rastko Ciric; Tyler M. Moore; Kosha Ruparel; Ruben C. Gur; Raquel E. Gur; Danielle S. Bassett (NeuroImage, 2018)

Brain state flexibility accompanies motor-skill acquisition. - Pranav G. Reddy; Marcelo Gomes Mattar; Andrew C. Murphy; Nicholas F. Wymbs; Scott T. Grafton; Theodore D. Satterthwaite; Danielle S. Bassett (NeuroImage, 2018)

Dynamic graph metrics: Tutorial, toolbox, and tale. - Ann Sizemore; Danielle S. Bassett (NeuroImage, 2018)

Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function. - Javier O. Garcia; Arian Ashourvan; Sarah Muldoon; Jean M. Vettel; Danielle S. Bassett (Proc. IEEE, 2018)

A Graph Signal Processing Perspective on Functional Brain Imaging. - Weiyu Huang; Thomas William Arthur Bolton; John D. Medaglia; Danielle S. Bassett; Alejandro Ribeiro; Dimitri Van De Ville (Proc. IEEE, 2018)

Data-driven brain network models differentiate variability across language tasks. - Kanika Bansal; John D. Medaglia; Danielle S. Bassett; Jean M. Vettel; Sarah Feldt Muldoon (PLoS Comput. Biol., 2018)

Subgraphs of functional brain networks identify dynamical constraints of cognitive control. - Ankit N. Khambhati; John D. Medaglia; Elisabeth A. Karuza; Sharon L. Thompson-Schill; Danielle S. Bassett (PLoS Comput. Biol., 2018)

Correction: Subgraphs of functional brain networks identify dynamical constraints of cognitive control. - Ankit N. Khambhati; John D. Medaglia; Elisabeth A. Karuza; Sharon L. Thompson-Schill; Danielle S. Bassett (PLoS Comput. Biol., 2018)

Comparing two classes of biological distribution systems using network analysis. - Lia Papadopoulos; Pablo Blinder; Henrik Ronellenfitsch; Florian Klimm; Eleni Katifori; David Kleinfeld; Danielle S. Bassett (PLoS Comput. Biol., 2018)

Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators. - Tommaso Menara; Giacomo Baggio; Danielle S. Bassett; Fabio Pasqualetti (ACC, 2019)

A Framework to Control Functional Connectivity in the Human Brain. - Tommaso Menara; Giacomo Baggio; Danielle S. Bassett; Fabio Pasqualetti (CDC, 2019)

Combination of connectivity and spectral Features for motor-imagery BCI. - Tiziana Cattai; Stefania Colonnese; Marie-Constance Corsi; Danielle S. Bassett; Gaetano Scarano; Fabrizio de Vico Fallani (GBCIC, 2019)

Looking for cortical patterns of successful motor imagery-based BCI learning. - Marie-Constance Corsi; Mario Chavez; Denis Schwartz; Nathalie George; Laurent Hugueville; Ari E. Kahn; Sophie Dupont; Danielle S. Bassett; Fabrizio de Vico Fallani (GBCIC, 2019)

Uncovering dynamic stock return correlations with multilayer network analysis. - Danielle N. Rubin; Danielle S. Bassett; Robert Ready (Appl. Netw. Sci., 2019)

Human Sensitivity to Community Structure Is Robust to Topological Variation. - Elisabeth A. Karuza; Ari E. Kahn; Danielle S. Bassett (Complex., 2019)

Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. - Dushyant Sahoo; Danielle S. Bassett; Christos Davatzikos (CoRR, 2019)

Architecture and evolution of semantic networks in mathematics texts. - Nicolas H. Christianson; Ann Sizemore Blevins; Danielle S. Bassett (CoRR, 2019)

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. - Marie-Constance Corsi; Mario Chavez; Denis Schwartz; Laurent Hugueville; Ankit N. Khambhati; Danielle S. Bassett; Fabrizio de Vico Fallani (Int. J. Neural Syst., 2019)

The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability. - Richard F. Betzel; Maxwell A. Bertolero; Evan M. Gordon; Caterina Gratton; Nico U. F. Dosenbach; Danielle S. Bassett (NeuroImage, 2019)

Sex differences in network controllability as a predictor of executive function in youth. - Eli J. Cornblath; Evelyn Tang; Graham L. Baum; Tyler M. Moore; Azeez Adebimpe; David R. Roalf; Ruben C. Gur; Raquel E. Gur; Fabio Pasqualetti; Theodore D. Satterthwaite; Danielle S. Bassett (NeuroImage, 2019)

RE: Warnings and caveats in brain controllability. - Fabio Pasqualetti; Shi Gu; Danielle S. Bassett (NeuroImage, 2019)

Stability of spontaneous, correlated activity in mouse auditory cortex. - Richard F. Betzel; Katherine C. Wood; Christopher Angeloni; Maria N. Geffen; Danielle S. Bassett (PLoS Comput. Biol., 2019)

Structural Controllability of Symmetric Networks. - Tommaso Menara; Danielle S. Bassett; Fabio Pasqualetti (IEEE Trans. Autom. Control., 2019)

The extent and drivers of gender imbalance in neuroscience reference lists. - Jordan D. Dworkin; Kristin A. Linn; Erin G. Teich; Perry Zurn; Russell T. Shinohara; Danielle S. Bassett (CoRR, 2020)

Data-Driven Control of Complex Networks. - Giacomo Baggio; Danielle S. Bassett; Fabio Pasqualetti (CoRR, 2020)

Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. - Jason Z. Kim; Zhixin Lu; Erfan Nozari; George J. Pappas; Danielle S. Bassett (CoRR, 2020)

The growth and form of knowledge networks by kinesthetic curiosity. - Dale Zhou; David M. Lydon-Staley; Perry Zurn; Danielle S. Bassett (CoRR, 2020)

Habit learning supported by efficiently controlled network dynamics in naive macaque monkeys. - Karol P. Szymula; Fabio Pasqualetti; Ann M. Graybiel; Theresa M. Desrochers; Danielle S. Bassett (CoRR, 2020)

The network structure of scientific revolutions. - Harang Ju; Dale Zhou; Ann Sizemore Blevins; David M. Lydon-Staley; Judith Kaplan; Julio R. Tuma; Danielle S. Bassett (CoRR, 2020)

Is the brain macroscopically linear? A system identification of resting state dynamics. - Erfan Nozari; Jennifer Stiso; Lorenzo Caciagli; Eli J. Cornblath; Xiaosong He; Maxwell A. Bertolero; Arun S. Mahadevan; George J. Pappas; Danielle S. Bassett (CoRR, 2020)

Conditions for Feedback Linearization of Network Systems. - Tommaso Menara; Giacomo Baggio; Danielle S. Bassett; Fabio Pasqualetti (IEEE Control. Syst. Lett., 2020)

Benchmarking Measures of Network Controllability on Canonical Graph Models. - Elena Wu-Yan; Richard F. Betzel; Evelyn Tang; Shi Gu; Fabio Pasqualetti; Danielle S. Bassett (J. Nonlinear Sci., 2020)

Functional disconnection of associative cortical areas predicts performance during BCI training. - Marie-Constance Corsi; Mario Chavez; Denis Schwartz; Nathalie George; Laurent Hugueville; Ari E. Kahn; Sophie Dupont; Danielle S. Bassett; Fabrizio de Vico Fallani (NeuroImage, 2020)

Space-independent community and hub structure of functional brain networks. - Farnaz Zamani Esfahlani; Maxwell A. Bertolero; Danielle S. Bassett; Richard F. Betzel (NeuroImage, 2020)

Functional brain network architecture supporting the learning of social networks in humans. - Steven H. Tompson; Ari E. Kahn; Emily B. Falk; Jean M. Vettel; Danielle S. Bassett (NeuroImage, 2020)

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists. - Hao-Ting Wang; Jonathan Smallwood; Janaina Mourão Miranda; Cedric Huchuan Xia; Theodore D. Satterthwaite; Danielle S. Bassett; Danilo Bzdok (NeuroImage, 2020)

Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state. - Lia Papadopoulos; Christopher W. Lynn; Demian Battaglia; Danielle S. Bassett (PLoS Comput. Biol., 2020)

Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators. - Tommaso Menara; Giacomo Baggio; Danielle S. Bassett; Fabio Pasqualetti (IEEE Trans. Control. Netw. Syst., 2020)

On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists. - Maxwell A. Bertolero; Danielle S. Bassett (Top. Cogn. Sci., 2020)

Learning Continuous Chaotic Attractors with a Reservoir Computer. - Lindsay M. Smith; Jason Z. Kim; Zhixin Lu; Danielle S. Bassett (CoRR, 2021)

Citation inequity and gendered citation practices in contemporary physics. - Erin G. Teich; Jason Z. Kim; Christopher W. Lynn; Samantha C. Simon; Andrei A. Klishin; Karol P. Szymula; Pragya Srivastava; Lee C. Bassett; Perry Zurn; Jordan D. Dworkin; Danielle S. Bassett (CoRR, 2021)

Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters. - Yuzhen Qin; Ming Cao 001; Brian D. O. Anderson; Danielle S. Bassett; Fabio Pasqualetti (IEEE Control. Syst. Lett., 2021)

Teaching recurrent neural networks to infer global temporal structure from local examples. - Jason Z. Kim; Zhixin Lu; Erfan Nozari; George J. Pappas; Danielle S. Bassett (Nat. Mach. Intell., 2021)

Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data. - Arun S. Mahadevan; Ursula A. Tooley; Maxwell A. Bertolero; Allyson Mackey; Danielle S. Bassett (NeuroImage, 2021)

The modulation of brain network integration and arousal during exploration. - Nathan Tardiff; John D. Medaglia; Danielle S. Bassett; Sharon L. Thompson-Schill (NeuroImage, 2021)

The Why, How, and When of Representations for Complex Systems. - Leo Torres 003; Ann Sizemore Blevins; Danielle S. Bassett; Tina Eliassi-Rad (SIAM Rev., 2021)

Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising. - Tiziana Cattai; Gaetano Scarano; Marie-Constance Corsi; Danielle S. Bassett; Fabrizio de Vico Fallani; Stefania Colonnese (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. - Yuzhen Qin; Danielle S. Bassett; Fabio Pasqualetti (CDC, 2022)

Flexible Information Propagation in Oscillator Networks. - Yuzhen Qin; Danielle S. Bassett; Fabio Pasqualetti (CDC, 2022)

Exposure theory for learning complex networks with random walks. - Andrei A. Klishin; Dani S. Bassett (J. Complex Networks, 2022)

The Distributed Information Bottleneck reveals the explanatory structure of complex systems. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2022)

Modeling observed gender imbalances in academic citation practices. - Jennifer Stiso; Kendra Oudyk; Maxwell A. Bertolero; Dale Zhou; Erin G. Teich; David M. Lydon-Staley; Perry Zurn; Danielle S. Bassett (CoRR, 2022)

Learning Dynamic Graphs, Too Slow. - Andrei A. Klishin; Nicolas H. Christianson; Cynthia S. Q. Siew; Dani S. Bassett (CoRR, 2022)

Characterizing information loss in a chaotic double pendulum with the Information Bottleneck. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2022)

Relay Interactions Enable Remote Synchronization in Networks of Phase Oscillators. - Tommaso Menara; Yuzhen Qin; Danielle S. Bassett; Fabio Pasqualetti (IEEE Control. Syst. Lett., 2022)

Harmonizing functional connectivity reduces scanner effects in community detection. - Andrew A. Chen; Dhivya Srinivasan; Raymond Pomponio; Yong Fan 001; Ilya M. Nasrallah; Susan M. Resnick; Lori L. Beason-Held; Christos Davatzikos; Theodore D. Satterthwaite; Dani S. Bassett; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

A framework For brain atlases: Lessons from seizure dynamics. - Andrew Y. Revell; Alexander B. Silva; T. Campbell Arnold; Joel M. Stein; Sandhitsu R. Das; Russell T. Shinohara; Danielle S. Bassett; Brian Litt; Kathryn A. Davis (NeuroImage, 2022)

The expanding horizons of network neuroscience: From description to prediction and control. - Pragya Srivastava; Panagiotis Fotiadis; Linden Parkes; Dani S. Bassett (NeuroImage, 2022)

Functional brain network community structure in childhood: Unfinished territories and fuzzy boundaries. - Ursula A. Tooley; Danielle S. Bassett; Allyson Mackey (NeuroImage, 2022)

Correction: Stability of spontaneous, correlated activity in mouse auditory cortex. - Richard F. Betzel; Katherine C. Wood; Christopher Angeloni; Maria N. Geffen; Danielle S. Bassett (PLoS Comput. Biol., 2022)

Vibrational Stabilization of Complex Network Systems. - Alberto Maria Nobili; Yuzhen Qin; Carlo Alberto Avizzano; Danielle S. Bassett; Fabio Pasqualetti (ACC, 2023)

Interpretability with full complexity by constraining feature information. - Kieran A. Murphy; Danielle S. Bassett (ICLR, 2023)

Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. - Shubhankar Prashant Patankar; Mathieu Ouellet; Juan Cerviño; Alejandro Ribeiro; Kieran A. Murphy; Danielle S. Bassett (LoG, 2023)

Information decomposition to identify relevant variation in complex systems with machine learning. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2023)

Vibrational Stabilization of Cluster Synchronization in Oscillator Networks. - Yuzhen Qin; Alberto Maria Nobili; Danielle S. Bassett; Fabio Pasqualetti (CoRR, 2023)

Optimized measurements of chaotic dynamical systems via the information bottleneck. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2023)

A neural machine code and programming framework for the reservoir computer. - Jason Z. Kim; Dani S. Bassett (Nat. Mac. Intell., 2023)

Publisher Correction: A neural machine code and programming framework for the reservoir computer. - Jason Z. Kim; Dani S. Bassett (Nat. Mac. Intell., 2023)

Analytical Characterization of Epileptic Dynamics in a Bistable System. - Yuzhen Qin; Ahmed ElGazzar; Danielle S. Bassett; Fabio Pasqualetti; Marcel van Gerven (CDC, 2024)

Comparing information content of representation spaces for disentanglement with VAE ensembles. - Kieran A. Murphy; Sam Dillavou; Dani S. Bassett (CoRR, 2024)

Which bits went where? Past and future transfer entropy decomposition with the information bottleneck. - Kieran A. Murphy; Zhuowen Yin; Dani S. Bassett (CoRR, 2024)

Citation Sentiment Reflects Multiscale Sociocultural Norms. - Xiaohuan Xia; Mathieu Ouellet; Shubhankar P. Patankar; Diana I. Tamir; Dani S. Bassett (CoRR, 2024)

Surveying the space of descriptions of a composite system with machine learning. - Kieran A. Murphy; Yujing Zhang; Dani S. Bassett (CoRR, 2024)

Comparing the information content of probabilistic representation spaces. - Kieran A. Murphy; Sam Dillavou; Danielle S. Bassett (Trans. Mach. Learn. Res., 2025)