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Michael C. Burkhart, Ph.D. - Publications

Affiliations: 
2013-2019 Applied Mathematics Brown University, Providence, RI 
Area:
sequential Bayesian filtering, neural decoding, discriminative modeling
Website:
https://burkh4rt.github.io
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4 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Burkhart MC, Brandman DM, Franco B, Hochberg LR, Harrison MT. The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models. Neural Computation. 1-49. PMID 32187000 DOI: 10.1162/Neco_A_01275  0.448
2018 Brandman DM, Burkhart MC, Kelemen J, Franco B, Harrison MT, Hochberg LR. Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression. Neural Computation. 1-23. PMID 30216140 DOI: 10.1162/Neco_A_01129  0.498
2018 Brandman DM, Hosman T, Saab J, Burkhart MC, Shanahan BE, Ciancibello JG, Sarma AA, Milstein DJ, Vargas-Irwin CE, Franco B, Kelemen J, Blabe C, Murphy BA, Young DR, Willett FR, et al. Rapid calibration of an intracortical brain-computer interface for people with tetraplegia. Journal of Neural Engineering. 15: 026007. PMID 29363625 DOI: 10.1088/1741-2552/Aa9Ee7  0.421
2014 Burkhart MC, Heo Y, Zavala VM. Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach Energy and Buildings. 75: 189-198. DOI: 10.1016/J.Enbuild.2014.01.048  0.325
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