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Jean M. Vettel
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2020 – today
- 2023
- [j15]S. Shailja, Vikram Bhagavatula, Matthew Cieslak, Jean M. Vettel, Scott T. Grafton, B. S. Manjunath:
ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI. IEEE Trans. Medical Imaging 42(12): 3725-3737 (2023) - 2021
- [j14]Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun, Sarah Feldt Muldoon, Paul Sajda, Jean M. Vettel:
Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability. NeuroImage 241: 118425 (2021) - 2020
- [j13]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)
2010 – 2019
- 2019
- [j12]Brian A. Mitchell, Nina Lauharatanahirun, Javier O. Garcia, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Vettel, Linda R. Petzold:
A Minimum Free Energy Model of Motor Learning. Neural Comput. 31(10): 1945-1963 (2019) - 2018
- [j11]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) - [j10]Fang-Cheng Yeh, Sandip Panesar, David Fernandes, Antonio Meola, Masanori Yoshino, Juan C. Fernandez-Miranda, Jean M. Vettel, Timothy D. Verstynen:
Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage 178: 57-68 (2018) - [j9]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) - [j8]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) - [j7]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Clustering Brain-Network Time Series by Riemannian Geometry. IEEE Trans. Signal Inf. Process. over Networks 4(3): 519-533 (2018) - [c6]Matthew Cieslak, Wendy Meiring, Tegan Brennan, Clint Greene, Lukas J. Volz, Jean M. Vettel, Subhash Suri, Scott T. Grafton:
Compositional measures of diffusion anisotropy and asymmetry. ISBI 2018: 123-126 - [c5]Sivaraman Balakrishnan, Yo Joong Choe, Aarti Singh, Jean M. Vettel, Timothy D. Verstynen:
Local White Matter Architecture Defines Functional Brain Dynamics. SMC 2018: 595-602 - [i4]Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel:
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR abs/1803.04566 (2018) - 2017
- [j6]Javier O. Garcia, Justin Brooks, Scott E. Kerick, Tony Johnson, Tim R. Mullen, Jean M. Vettel:
Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. NeuroImage 150: 239-249 (2017) - [j5]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) - [j4]Jordan Muraskin, Jason Sherwin, Gregory Lieberman, Javier O. Garcia, Timothy D. Verstynen, Jean M. Vettel, Paul Sajda:
Fusing Multiple Neuroimaging Modalities to Assess Group Differences in Perception-Action Coupling. Proc. IEEE 105(1): 83-100 (2017) - [i3]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case. CoRR abs/1701.07767 (2017) - 2016
- [j3]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) - [j2]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) - [j1]Fang-Cheng Yeh, Jean M. Vettel, Aarti Singh, Barnabás Póczos, Scott T. Grafton, Kirk I. Erickson, Wen-Yih Isaac Tseng, Timothy D. Verstynen:
Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints. PLoS Comput. Biol. 12(11) (2016) - [c4]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
Clustering brain-network-connectivity states using kernel partial correlations. ACSSC 2016: 268-272 - [c3]Nicholas R. Waytowich, Josef Faller, Javier O. Garcia, Jean M. Vettel, Paul Sajda:
Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces. SMC 2016: 4135-4140 - [i2]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) - [i1]Jean M. Vettel, Justin Kantner, Matthew Jaswa, Michael B. Miller:
Animated 3D Human Models for Use in Person Recognition Experiments. CoRR abs/1606.05006 (2016) - 2013
- [c2]Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang:
A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP 2013: 1227-1231 - 2011
- [c1]Brent Lance, Stephen M. Gordon, Jean M. Vettel, Tony Johnson, Victor Paul, Chris Manteuffel, Matthew Jaswa, Kelvin S. Oie:
Classifying High-Noise EEG in Complex Environments for Brain-Computer Interaction Technologies. ACII (2) 2011: 467-476
Coauthor Index
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