Author

J. L. Vitek

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Escobar Sanabria· 2 shared A. Werning· 1 shared D. Umbarila· 1 shared G. F. Molnar· 1 shared H. Farooqi· 1 shared J. Wang· 1 shared J. Zhang· 1 shared L. A. Johnson· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioengineering

D. Escobar Sanabria

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2 papers

Recent·Most cited

Deep brain stimulation pulse sequences to optimally modulate frequency-specific neural activity

H. Farooqi, J. L. Vitek, D. Escobar Sanabria

This paper identifies optimal electrical pulse sequences for modulating frequency-specific neural oscillations using mathematical models and optimization tools, revealing the necessity of phase, amplitude, and frequency modulation.

bioRxiv · Mar 12, 2022Bioengineering

Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation

A. Werning, D. Umbarila, M. Fite, S. Fergus, J. Zhang, G. F. Molnar, L. A. Johnson, J. Wang, J. L. Vitek, D. Escobar Sanabria

This paper develops a robotic system and model-based approach to estimate viscous damping and stiffness in Parkinsonism, showing that these metrics decrease with deep brain stimulation and better differentiate rigidity changes than existing clinical scores.

bioRxiv · Feb 17, 2021 · PreprintBioengineering