Jean Vettel, PhD

Affiliations: 
Translational Neuroscience Branch Army Research Lab, Adelphi, MD, United States 
Area:
Multimodal Integration, Structure-Function Couplings, Translational Neuroscience
Website:
http://www.vettel.org
Google:
"Jean Vettel"
Mean distance: 15.63 (cluster 15)
 
SNBCP

Parents

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Jeffrey M. Zacks research assistant 2001-2004 Washington University
Michael J. Tarr grad student 2004-2009 Brown
 (Neural integration of multimodal events.)
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Publications

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Bansal K, Garcia JO, Tompson SH, et al. (2019) Cognitive chimera states in human brain networks. Science Advances. 5: eaau8535
Roy H, Wasylyshyn N, Spangler DP, et al. (2019) Linking Emotional Reactivity Between Laboratory Tasks and Immersive Environments Using Behavior and Physiology. Frontiers in Human Neuroscience. 13: 54
Cooper N, Garcia JO, Tompson SH, et al. (2019) Time-evolving dynamics in brain networks forecast responses to health messaging. Network Neuroscience (Cambridge, Mass.). 3: 138-156
Kahn AE, Karuza EA, Vettel JM, et al. (2018) Network constraints on learnability of probabilistic motor sequences. Nature Human Behaviour. 2: 936-947
Garcia JO, Ashourvan A, Muldoon SF, et al. (2018) Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function. Proceedings of the Ieee. Institute of Electrical and Electronics Engineers. 106: 846-867
Bansal K, Medaglia JD, Bassett DS, et al. (2018) Data-driven brain network models differentiate variability across language tasks. Plos Computational Biology. 14: e1006487
Waytowich NR, Lawhern V, Garcia JO, et al. (2018) Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. Journal of Neural Engineering
Tompson S, Falk EB, Vettel JM, et al. (2018) Network Approaches to Understand Individual Differences in Brain Connectivity: Opportunities for Personality Neuroscience. Personality Neuroscience. 1
Tompson SH, Kahn AE, Falk EB, et al. (2018) Individual differences in learning social and nonsocial network structures. Journal of Experimental Psychology. Learning, Memory, and Cognition
Powell MA, Garcia JO, Yeh FC, et al. (2018) Local connectome phenotypes predict social, health, and cognitive factors. Network Neuroscience (Cambridge, Mass.). 2: 86-105
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