Danielle S. Bassett

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 101

Top Venues

Publications

Yuzhen Qin, Ahmed ElGazzar, Danielle S. Bassett, Fabio Pasqualetti, Marcel van Gerven
Analytical Characterization of Epileptic Dynamics in a Bistable System. CoRR (2024)
Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Danielle S. Bassett
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. LoG (2023)
Yuzhen Qin, Alberto Maria Nobili, Danielle S. Bassett, Fabio Pasqualetti
Vibrational Stabilization of Cluster Synchronization in Oscillator Networks. CoRR (2023)
Kieran A. Murphy, Danielle S. Bassett
Interpretability with full complexity by constraining feature information. ICLR (2023)
Alberto Maria Nobili, Yuzhen Qin, Carlo Alberto Avizzano, Danielle S. Bassett, Fabio Pasqualetti
Vibrational Stabilization of Complex Network Systems. CoRR (2023)
Alberto Maria Nobili, Yuzhen Qin, Carlo Alberto Avizzano, Danielle S. Bassett, Fabio Pasqualetti
Vibrational Stabilization of Complex Network Systems. ACC (2023)
Andrei A. Klishin, Danielle S. Bassett
Exposure theory for learning complex networks with random walks. CoRR (2022)
Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti
Flexible Information Propagation in Oscillator Networks. CDC (2022)
Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. CoRR (2022)
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
A framework For brain atlases: Lessons from seizure dynamics. NeuroImage 254 (2022)
Jennifer Stiso, Kendra Oudyk, Maxwell A. Bertolero, Dale Zhou, Erin G. Teich, David M. Lydon-Staley, Perry Zurn, Danielle S. Bassett
Modeling observed gender imbalances in academic citation practices. CoRR (2022)
Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. CDC (2022)
Richard F. Betzel, Katherine C. Wood, Christopher Angeloni, Maria N. Geffen, Danielle S. Bassett
Correction: Stability of spontaneous, correlated activity in mouse auditory cortex. PLoS Comput. Biol. 18 (6) (2022)
Ursula A. Tooley, Danielle S. Bassett, Allyson Mackey
Functional brain network community structure in childhood: Unfinished territories and fuzzy boundaries. NeuroImage 247 (2022)
Tommaso Menara, Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti
Relay Interactions Enable Remote Synchronization in Networks of Phase Oscillators. IEEE Control. Syst. Lett. 6 (2022)
Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad
The Why, How, and When of Representations for Complex Systems. SIAM Rev. 63 (3) (2021)
Arun S. Mahadevan, Ursula A. Tooley, Maxwell A. Bertolero, Allyson Mackey, Danielle S. Bassett
Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data. NeuroImage 241 (2021)
Yuzhen Qin, Ming Cao, Brian D. O. Anderson, Danielle S. Bassett, Fabio Pasqualetti
Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters. IEEE Control. Syst. Lett. 5 (3) (2021)
Lindsay M. Smith, Jason Z. Kim, Zhixin Lu, Danielle S. Bassett
Learning Continuous Chaotic Attractors with a Reservoir Computer. CoRR (2021)
Nathan Tardiff, John D. Medaglia, Danielle S. Bassett, Sharon L. Thompson-Schill
The modulation of brain network integration and arousal during exploration. NeuroImage 240 (2021)
Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett
Teaching recurrent neural networks to infer global temporal structure from local examples. Nat. Mach. Intell. 3 (4) (2021)
Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi, Danielle S. Bassett, Fabrizio de Vico Fallani, Stefania Colonnese
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
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
Citation inequity and gendered citation practices in contemporary physics. CoRR (2021)
Lia Papadopoulos, Christopher W. Lynn, Demian Battaglia, Danielle S. Bassett
Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state. PLoS Comput. Biol. 16 (9) (2020)
Jordan D. Dworkin, Kristin A. Linn, Erin G. Teich, Perry Zurn, Russell T. Shinohara, Danielle S. Bassett
The extent and drivers of gender imbalance in neuroscience reference lists. CoRR (2020)
Farnaz Zamani Esfahlani, Maxwell A. Bertolero, Danielle S. Bassett, Richard F. Betzel
Space-independent community and hub structure of functional brain networks. NeuroImage 211 (2020)
Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad
The why, how, and when of representations for complex systems. CoRR (2020)
Maxwell A. Bertolero, Danielle S. Bassett
On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists. Top. Cogn. Sci. 12 (4) (2020)
Erfan Nozari, Jennifer Stiso, Lorenzo Caciagli, Eli J. Cornblath, Xiaosong He, Maxwell A. Bertolero, Arun S. Mahadevan, George J. Pappas, Danielle S. Bassett
Is the brain macroscopically linear? A system identification of resting state dynamics. CoRR (2020)
Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists. NeuroImage 216 (2020)
Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio de Vico Fallani
Functional disconnection of associative cortical areas predicts performance during BCI training. NeuroImage 209 (2020)
Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
Data-Driven Control of Complex Networks. CoRR (2020)
Elena Wu-Yan, Richard F. Betzel, Evelyn Tang, Shi Gu, Fabio Pasqualetti, Danielle S. Bassett
Benchmarking Measures of Network Controllability on Canonical Graph Models. J. Nonlinear Sci. 30 (5) (2020)
Karol P. Szymula, Fabio Pasqualetti, Ann M. Graybiel, Theresa M. Desrochers, Danielle S. Bassett
Habit learning supported by efficiently controlled network dynamics in naive macaque monkeys. CoRR (2020)
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Harang Ju, Dale Zhou, Ann Sizemore Blevins, David M. Lydon-Staley, Judith Kaplan, Julio R. Tuma, Danielle S. Bassett
The network structure of scientific revolutions. CoRR (2020)
Dale Zhou, David M. Lydon-Staley, Perry Zurn, Danielle S. Bassett
The growth and form of knowledge networks by kinesthetic curiosity. CoRR (2020)
Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. CoRR (2020)
Steven H. Tompson, Ari E. Kahn, Emily B. Falk, Jean M. Vettel, Danielle S. Bassett
Functional brain network architecture supporting the learning of social networks in humans. NeuroImage 210 (2020)
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
Conditions for Feedback Linearization of Network Systems. IEEE Control. Syst. Lett. 4 (3) (2020)
Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett
Architecture and evolution of semantic networks in mathematics texts. CoRR (2019)
Tommaso Menara, Danielle S. Bassett, Fabio Pasqualetti
Structural Controllability of Symmetric Networks. IEEE Trans. Autom. Control. 64 (9) (2019)
Danielle N. Rubin, Danielle S. Bassett, Robert Ready
Uncovering dynamic stock return correlations with multilayer network analysis. Appl. Netw. Sci. 4 (1) (2019)
Dushyant Sahoo, Danielle S. Bassett, Christos Davatzikos
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. CoRR (2019)
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators. ACC (2019)
Richard F. Betzel, Maxwell A. Bertolero, Evan M. Gordon, Caterina Gratton, Nico U. F. Dosenbach, Danielle S. Bassett
The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability. NeuroImage 202 (2019)
Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio de Vico Fallani
Looking for cortical patterns of successful motor imagery-based BCI learning. GBCIC (2019)
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
A Framework to Control Functional Connectivity in the Human Brain. CDC (2019)
Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio de Vico Fallani
Combination of connectivity and spectral Features for motor-imagery BCI. GBCIC (2019)
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
Sex differences in network controllability as a predictor of executive function in youth. NeuroImage 188 (2019)
Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Laurent Hugueville, Ankit N. Khambhati, Danielle S. Bassett, Fabrizio de Vico Fallani
Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. Int. J. Neural Syst. 29 (1) (2019)
Fabio Pasqualetti, Shi Gu, Danielle S. Bassett
RE: Warnings and caveats in brain controllability. NeuroImage 197 (2019)
Richard F. Betzel, Katherine C. Wood, Christopher Angeloni, Maria N. Geffen, Danielle S. Bassett
Stability of spontaneous, correlated activity in mouse auditory cortex. PLoS Comput. Biol. 15 (12) (2019)
Elisabeth A. Karuza, Ari E. Kahn, Danielle S. Bassett
Human Sensitivity to Community Structure Is Robust to Topological Variation. Complex. 2019 (2019)
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
A Framework to Control Functional Connectivity in the Human Brain. CoRR (2019)
Pranav G. Reddy, Marcelo Gomes Mattar, Andrew C. Murphy, Nicholas F. Wymbs, Scott T. Grafton, Theodore D. Satterthwaite, Danielle S. Bassett
Brain state flexibility accompanies motor-skill acquisition. NeuroImage 171 (2018)
John D. Medaglia, Theodore D. Satterthwaite, Apoorva Kelkar, Rastko Ciric, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett
Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment. NeuroImage 166 (2018)
Lia Papadopoulos, Pablo Blinder, Henrik Ronellenfitsch, Florian Klimm, Eleni Katifori, David Kleinfeld, Danielle S. Bassett
Comparing two classes of biological distribution systems using network analysis. PLoS Comput. Biol. 14 (9) (2018)
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, Danielle S. Bassett, Theodore D. Satterthwaite
The impact of in-scanner head motion on structural connectivity derived from diffusion MRI. NeuroImage 173 (2018)
Ankit N. Khambhati, Ann Sizemore, Richard F. Betzel, Danielle S. Bassett
Modeling and interpreting mesoscale network dynamics. NeuroImage 180 (Part) (2018)
Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, Sharon L. Thompson-Schill, Danielle S. Bassett
Correction: Subgraphs of functional brain networks identify dynamical constraints of cognitive control. PLoS Comput. Biol. 14 (8) (2018)
Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio de Vico Fallani
Characterization of Mental States through Node Connectivity between Brain Signals. EUSIPCO (2018)
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, Danielle S. Bassett
Surges of collective human activity emerge from simple pairwise correlations. CoRR (2018)
Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
Graph Signal Processing of Human Brain Imaging Data. ICASSP (2018)
Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett
The emergent integrated network structure of scientific research. CoRR (2018)
Ankit N. Khambhati, Marcelo Gomes Mattar, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett
Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. NeuroImage 166 (2018)
Tommaso Menara, Vaibhav Katewa, Danielle S. Bassett, Fabio Pasqualetti
The Structured Controllability Radius of Symmetric (Brain) Networks. ACC (2018)
Javier O. Garcia, Arian Ashourvan, Sarah Muldoon, Jean M. Vettel, Danielle S. Bassett
Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function. Proc. IEEE 106 (5) (2018)
Lucy R. Chai, Danielle S. Bassett
Evolution of semantic networks in biomedical texts. CoRR (2018)
Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, Sharon L. Thompson-Schill, Danielle S. Bassett
Subgraphs of functional brain networks identify dynamical constraints of cognitive control. PLoS Comput. Biol. 14 (7) (2018)
Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
A Graph Signal Processing Perspective on Functional Brain Imaging. Proc. IEEE 106 (5) (2018)
Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett
The landscape of NeuroImage-ing research. CoRR (2018)
Marcelo Gomes Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey Karl Aguirre, Scott T. Grafton, Danielle S. Bassett
Predicting future learning from baseline network architecture. NeuroImage 172 (2018)
Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett
-ing research. NeuroImage 183 (2018)
Ann Sizemore, Chad Giusti, Ari E. Kahn, Jean M. Vettel, Richard F. Betzel, Danielle S. Bassett
Cliques and cavities in the human connectome. J. Comput. Neurosci. 44 (1) (2018)
Kanika Bansal, John D. Medaglia, Danielle S. Bassett, Jean M. Vettel, Sarah Feldt Muldoon
Data-driven brain network models differentiate variability across language tasks. PLoS Comput. Biol. 14 (10) (2018)
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators. CoRR (2018)
Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. CoRR (2018)
Ann Sizemore, Danielle S. Bassett
Dynamic graph metrics: Tutorial, toolbox, and tale. NeuroImage 180 (Part) (2018)
Lia Papadopoulos, Mason A. Porter, Karen E. Daniels, Danielle S. Bassett
Network analysis of particles and grains. J. Complex Networks 6 (4) (2018)
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
Sex differences in network controllability as a predictor of executive function in youth. CoRR (2018)
Arian Ashourvan, Shi Gu, Marcelo Gomes Mattar, Jean M. Vettel, Danielle S. Bassett
The energy landscape underpinning module dynamics in the human brain connectome. NeuroImage 157 (2017)
Lorenzo Tiberi, Chiara Favaretto, Mario Innocenti, Danielle S. Bassett, Fabio Pasqualetti
Synchronization patterns in networks of Kuramoto oscillators: A geometric approach for analysis and control. CDC (2017)
Leah Goldsberry, Weiyu Huang, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro
Brain signal analytics from graph signal processing perspective. ICASSP (2017)
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, Danielle S. Bassett, Theodore D. Satterthwaite
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. NeuroImage 154 (2017)
Megan M. Sperry, Qawi K. Telesford, Florian Klimm, Danielle S. Bassett
Rentian scaling for the measurement of optimal embedding of complex networks into physical space. J. Complex Networks 5 (2) (2017)
Tommaso Menara, Shi Gu, Danielle S. Bassett, Fabio Pasqualetti
On Structural Controllability of Symmetric (Brain) Networks. CoRR (2017)
Sérgio Pequito, Arian Ashourvan, Danielle S. Bassett, Brian Litt, George J. Pappas
Spectral control of cortical activity. ACC (2017)
Ann Sizemore, Chad Giusti, Danielle S. Bassett
Classification of weighted networks through mesoscale homological features. J. Complex Networks 5 (2) (2017)
Chiara Favaretto, Danielle S. Bassett, Angelo Cenedese, Fabio Pasqualetti
Bode meets Kuramoto: Synchronized clusters in oscillatory networks. ACC (2017)
Shi Gu, Richard F. Betzel, Marcelo Gomes Mattar, Matthew Cieslak, Philip R. Delio, Scott T. Grafton, Fabio Pasqualetti, Danielle S. Bassett
Optimal trajectories of brain state transitions. NeuroImage 148 (2017)
Richard F. Betzel, Danielle S. Bassett
Multi-scale brain networks. NeuroImage 160 (2017)
Lorenzo Tiberi, Chiara Favaretto, Mario Innocenti, Danielle S. Bassett, Fabio Pasqualetti
Synchronization Patterns in Networks of Kuramoto Oscillators: A Geometric Approach for Analysis and Control. CoRR (2017)
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro
Graph Frequency Analysis of Brain Signals. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Sérgio Pequito, Ankit N. Khambhati, George J. Pappas, Dragoslav D. Siljak, Danielle S. Bassett, Brian Litt
Structural analysis and design of dynamic-flow networks: Implications in the brain dynamics. ACC (2016)
Fabian A. Soto, Danielle S. Bassett, F. Gregory Ashby
Dissociable changes in functional network topology underlie early category learning and development of automaticity. NeuroImage 141 (2016)
Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett
Stimulation-based control of dynamic brain networks. CoRR (2016)
Chad Giusti, Robert Ghrist, Danielle S. Bassett
Two's company, three (or more) is a simplex - Algebraic-topological tools for understanding higher-order structure in neural data. J. Comput. Neurosci. 41 (1) (2016)
Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett
Stimulation-Based Control of Dynamic Brain Networks. PLoS Comput. Biol. 12 (9) (2016)
Qawi K. Telesford, Mary-Ellen Lynall, Jean M. Vettel, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett
Detection of functional brain network reconfiguration during task-driven cognitive states. NeuroImage 142 (2016)

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Publication Activity (10 Years)

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Danielle S. Bassett