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2020 – today
- 2024
[i43]Yuzhen Qin, Ahmed ElGazzar, Danielle S. Bassett, Fabio Pasqualetti, Marcel van Gerven:
Analytical Characterization of Epileptic Dynamics in a Bistable System. CoRR abs/2404.03409 (2024)- [i42]Kieran A. Murphy, Sam Dillavou, Dani S. Bassett:
Comparing information content of representation spaces for disentanglement with VAE ensembles. CoRR abs/2405.21042 (2024) - 2023
- [j78]Jason Z. Kim, Dani S. Bassett
:
A neural machine code and programming framework for the reservoir computer. Nat. Mac. Intell. 5(6): 622-630 (2023) - [j77]Jason Z. Kim, Dani S. Bassett:
Publisher Correction: A neural machine code and programming framework for the reservoir computer. Nat. Mac. Intell. 5(7): 811 (2023) - [c18]Alberto Maria Nobili, Yuzhen Qin, Carlo Alberto Avizzano, Danielle S. Bassett, Fabio Pasqualetti:
Vibrational Stabilization of Complex Network Systems. ACC 2023: 1980-1985 - [c17]Kieran A. Murphy, Danielle S. Bassett:
Interpretability with full complexity by constraining feature information. ICLR 2023 - [c16]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: 23 - [i41]Kieran A. Murphy, Dani S. Bassett:
Information decomposition to identify relevant variation in complex systems with machine learning. CoRR abs/2307.04755 (2023) - [i40]Shubhankar P. Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Dani S. Bassett:
Intrinsically motivated graph exploration using network theories of human curiosity. CoRR abs/2307.04962 (2023) - [i39]Alberto Maria Nobili, Yuzhen Qin, Carlo Alberto Avizzano, Danielle S. Bassett, Fabio Pasqualetti:
Vibrational Stabilization of Complex Network Systems. CoRR abs/2308.05823 (2023) - [i38]Yuzhen Qin, Alberto Maria Nobili, Danielle S. Bassett, Fabio Pasqualetti:
Vibrational Stabilization of Cluster Synchronization in Oscillator Networks. CoRR abs/2308.07302 (2023) - [i37]Kieran A. Murphy, Dani S. Bassett:
Optimized measurements of chaotic dynamical systems via the information bottleneck. CoRR abs/2311.04896 (2023) - 2022
- [j76]Andrei A. Klishin, Dani S. Bassett:
Exposure theory for learning complex networks with random walks. J. Complex Networks 10(5) (2022) - [j75]Tommaso Menara, Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti:
Relay Interactions Enable Remote Synchronization in Networks of Phase Oscillators. IEEE Control. Syst. Lett. 6: 500-505 (2022) - [j74]Ursula A. Tooley, Danielle S. Bassett, Allyson Mackey:
Functional brain network community structure in childhood: Unfinished territories and fuzzy boundaries. NeuroImage 247: 118843 (2022) - [j73]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: 118986 (2022) - [j72]Andrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou:
Harmonizing functional connectivity reduces scanner effects in community detection. NeuroImage 256: 119198 (2022) - [j71]Pragya Srivastava, Panagiotis Fotiadis, Linden Parkes, Dani S. Bassett:
The expanding horizons of network neuroscience: From description to prediction and control. NeuroImage 258: 119250 (2022) - [j70]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) - [c15]Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti:
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. CDC 2022: 655-661 - [c14]Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti:
Flexible Information Propagation in Oscillator Networks. CDC 2022: 7029-7034 - [i36]Andrei A. Klishin, Danielle S. Bassett:
Exposure theory for learning complex networks with random walks. CoRR abs/2202.11262 (2022) - [i35]Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti:
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. CoRR abs/2204.00678 (2022) - [i34]Kieran A. Murphy, Dani S. Bassett:
The Distributed Information Bottleneck reveals the explanatory structure of complex systems. CoRR abs/2204.07576 (2022) - [i33]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 abs/2204.12555 (2022) - [i32]Andrei A. Klishin, Nicolas H. Christianson, Cynthia S. Q. Siew, Dani S. Bassett:
Learning Dynamic Graphs, Too Slow. CoRR abs/2207.02177 (2022) - [i31]Kieran A. Murphy, Dani S. Bassett:
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck. CoRR abs/2210.14220 (2022) - [i30]Kieran A. Murphy, Dani S. Bassett:
Interpretability with full complexity by constraining feature information. CoRR abs/2211.17264 (2022) - 2021
- [j69]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): 767-772 (2021) - [j68]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): 316-323 (2021) - [j67]Nathan Tardiff, John D. Medaglia, Danielle S. Bassett, Sharon L. Thompson-Schill:
The modulation of brain network integration and arousal during exploration. NeuroImage 240: 118369 (2021) - [j66]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: 118408 (2021) - [j65]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): 435-485 (2021) - [j64]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: 493-508 (2021) - [i29]Lindsay M. Smith, Jason Z. Kim, Zhixin Lu, Danielle S. Bassett:
Learning Continuous Chaotic Attractors with a Reservoir Computer. CoRR abs/2110.08631 (2021) - [i28]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 abs/2112.09047 (2021) - 2020
- [j63]Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
Conditions for Feedback Linearization of Network Systems. IEEE Control. Syst. Lett. 4(3): 578-583 (2020) - [j62]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): 2195-2233 (2020) - [j61]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: 116500 (2020) - [j60]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: 116498 (2020) - [j59]Farnaz Zamani Esfahlani, Maxwell A. Bertolero, Danielle S. Bassett, Richard F. Betzel:
Space-independent community and hub structure of functional brain networks. NeuroImage 211: 116612 (2020) - [j58]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: 116745 (2020) - [j57]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) - [j56]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): 302-314 (2020) - [j55]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): 1272-1293 (2020) - [i27]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 abs/2001.01002 (2020) - [i26]Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
Data-Driven Control of Complex Networks. CoRR abs/2003.12189 (2020) - [i25]Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett:
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. CoRR abs/2005.01186 (2020) - [i24]Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad:
The why, how, and when of representations for complex systems. CoRR abs/2006.02870 (2020) - [i23]Dale Zhou, David M. Lydon-Staley, Perry Zurn, Danielle S. Bassett:
The growth and form of knowledge networks by kinesthetic curiosity. CoRR abs/2006.02949 (2020) - [i22]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 abs/2006.14565 (2020) - [i21]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 abs/2010.08381 (2020) - [i20]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 abs/2012.12351 (2020)
2010 – 2019
- 2019
- [j54]Danielle N. Rubin, Danielle S. Bassett, Robert Ready:
Uncovering dynamic stock return correlations with multilayer network analysis. Appl. Netw. Sci. 4(1): 31:1-31:13 (2019) - [j53]Elisabeth A. Karuza, Ari E. Kahn, Danielle S. Bassett:
Human Sensitivity to Community Structure Is Robust to Topological Variation. Complex. 2019: 8379321:1-8379321:8 (2019) - [j52]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): 1850014:1-1850014:12 (2019) - [j51]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: 122-134 (2019) - [j50]Fabio Pasqualetti, Shi Gu, Danielle S. Bassett:
RE: Warnings and caveats in brain controllability. NeuroImage 197: 586-588 (2019) - [j49]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) - [j48]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) - [j47]Tommaso Menara, Danielle S. Bassett, Fabio Pasqualetti:
Structural Controllability of Symmetric Networks. IEEE Trans. Autom. Control. 64(9): 3740-3747 (2019) - [c13]Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators. ACC 2019: 205-210 - [c12]Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
A Framework to Control Functional Connectivity in the Human Brain. CDC 2019: 4697-4704 - [c11]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 - [c10]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 - [i19]Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
A Framework to Control Functional Connectivity in the Human Brain. CoRR abs/1904.08805 (2019) - [i18]Dushyant Sahoo, Danielle S. Bassett, Christos Davatzikos:
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. CoRR abs/1906.08365 (2019) - [i17]Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett:
Architecture and evolution of semantic networks in mathematics texts. CoRR abs/1908.04911 (2019) - 2018
- [j46]Lia Papadopoulos, Mason A. Porter, Karen E. Daniels, Danielle S. Bassett:
Network analysis of particles and grains. J. Complex Networks 6(4): 485-565 (2018) - [j45]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): 115-145 (2018) - [j44]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: 293-306 (2018) - [j43]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: 385-399 (2018) - [j42]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: 135-147 (2018) - [j41]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: 107-117 (2018) - [j40]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: 275-286 (2018) - [j39]Ankit N. Khambhati, Ann Sizemore, Richard F. Betzel, Danielle S. Bassett:
Modeling and interpreting mesoscale network dynamics. NeuroImage 180(Part): 337-349 (2018) - [j38]Ann Sizemore, Danielle S. Bassett:
Dynamic graph metrics: Tutorial, toolbox, and tale. NeuroImage 180(Part): 417-427 (2018) - [j37]Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett:
The landscape of NeuroImage-ing research. NeuroImage 183: 872-883 (2018) - [j36]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): 846-867 (2018) - [j35]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): 868-885 (2018) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [c9]Tommaso Menara, Vaibhav Katewa, Danielle S. Bassett, Fabio Pasqualetti:
The Structured Controllability Radius of Symmetric (Brain) Networks. ACC 2018: 2802-2807 - [c8]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: 1377-1381 - [c7]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: 980-984 - [i16]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 abs/1801.04623 (2018) - [i15]Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, Danielle S. Bassett:
Surges of collective human activity emerge from simple pairwise correlations. CoRR abs/1803.00118 (2018) - [i14]Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett:
The emergent integrated network structure of scientific research. CoRR abs/1804.06434 (2018) - [i13]Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett:
The landscape of NeuroImage-ing research. CoRR abs/1806.03211 (2018) - [i12]Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators. CoRR abs/1806.06083 (2018) - [i11]Lucy R. Chai, Danielle S. Bassett:
Evolution of semantic networks in biomedical texts. CoRR abs/1810.10534 (2018) - [i10]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 abs/1812.02598 (2018) - 2017
- [j30]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): 199-218 (2017) - [j29]Ann Sizemore, Chad Giusti, Danielle S. Bassett:
Classification of weighted networks through mesoscale homological features. J. Complex Networks 5(2): 245-273 (2017) - [j28]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: 305-317 (2017) - [j27]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: 174-187 (2017) - [j26]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: 364-380 (2017) - [j25]Richard F. Betzel, Danielle S. Bassett:
Multi-scale brain networks. NeuroImage 160: 73-83 (2017) - [c6]Sérgio Pequito, Arian Ashourvan, Danielle S. Bassett, Brian Litt, George J. Pappas:
Spectral control of cortical activity. ACC 2017: 2785-2791 - [c5]Chiara Favaretto, Danielle S. Bassett, Angelo Cenedese, Fabio Pasqualetti:
Bode meets Kuramoto: Synchronized clusters in oscillatory networks. ACC 2017: 2799-2804 - [c4]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: 481-486 - [c3]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: 851-855 - [i9]Tommaso Menara, Shi Gu, Danielle S. Bassett, Fabio Pasqualetti:
On Structural Controllability of Symmetric (Brain) Networks. CoRR abs/1706.05120 (2017) - [i8]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 abs/1709.06193 (2017) - 2016
- [j24]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): 1-14 (2016) - [j23]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): 1189-1203 (2016) - [j22]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: 220-241 (2016) - [j21]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: 198-210 (2016) - [j20]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) - [j19]Elizabeth N. Davison, Benjamin O. Turner, Kimberly J. Schlesinger, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett, Jean M. Carlson:
Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan. PLoS Comput. Biol. 12(11) (2016) - [c2]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: 5758-5764 - [i7]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 abs/1601.00987 (2016) - 2015
- [j18]