CNL Alumni
Quinn Peterson: Intern
Email Quinn PetersonWebsite
Biography
Intern in the Computational Neurobiology Lab at Salk Institute for Biological Studies. Worked on a project aimed at using machine learning to objectively rate severity in patients with adductor spasmodic dysphonia.
Latest Publications
- Zhang, Z. Vu, J. P. Chen, Q. Cisneros, E. Benadof, C. N. Sejnowski, T. J. Perlmutter, J. S. Stebbins, G. T. Comella, C. Peterson, D. A. Phenotyping cervical dystonia: using clinical video recordings and computer vision to capture triaxial head posture, Society for Neuroscience Abstracts, 2018
- Peterson, D. A. Sejnowski, T. J. A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm, Frontiers in Computational Neuroscience, 11, 11 /doi.org/10.3389/fncom.2017.00011, 2017 PMCID:PMC5340098 (PDF)
- Peterson, D. A. Littlewort, G. C. Bartlett, M. S. Macerollo, A., Perlmutter, J. S. Jinnah, H. A. Hallett, M. Sejnowski, T. J. Objective, computerized video-based rating of blepharospasm severity, Neurology, 87(20), 2146-2153, 2016 PMCID:PMC5109937 (PDF)
- Broccard, F. D. Mullen, T. Chi, Y. Peterson, D. Iversen, J. R. Arnold, M. P. Kreutz-Delgado, K. Jung, T.-P. Makeig, S. Poizner, H. Sejnowski, T. J. Cauwenberghs, G. Closed-loop brain-machine-body interface for noninvasive rehabilitation of movement disorders, Society for Neuroscience Abstracts, 2014 (PDF)
- Peterson, D. A. Sejnowski, T. J. A theoretical model for the pathogenesis of adult onset dystonia due to GNAL mutations, Society for Neuroscience Abstracts, 2014 (PDF)
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