David M. Brandman

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 7

Top Topics

Bayesian Filtering

Gaussian Process Regression

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Suvi Varshney, Dana Farias, David M. Brandman, Sergey D. Stavisky, Lee M. Miller
Using Automatic Speech Recognition to Measure the Intelligibility of Speech Synthesized From Brain Signals. NER (2023)
Maitreyee Wairagkar, Leigh R. Hochberg, David M. Brandman, Sergey D. Stavisky
Synthesizing Speech by Decoding Intracortical Neural Activity from Dorsal Motor Cortex. NER (2023)
John D. Simeral, Thomas Hosman, Jad Saab, Sharlene N. Flesher, Marco Vilela, Brian Franco, Jessica N. Kelemen, David M. Brandman, John G. Ciancibello, Paymon G. Rezaii, Emad N. Eskandar, David M. Rosler, Krishna V. Shenoy, Jaimie M. Henderson, Arto V. Nurmikko, Leigh R. Hochberg
Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia. IEEE Trans. Biomed. Eng. 68 (7) (2021)
Michael C. Burkhart, David M. Brandman, Brian Franco, Leigh R. Hochberg, Matthew T. Harrison
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models. Neural Comput. 32 (5) (2020)
Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman, Leigh R. Hochberg, John D. Simeral
BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation. NER (2019)
David M. Brandman, Michael C. Burkhart, Jessica N. Kelemen, Brian Franco, Matthew T. Harrison, Leigh R. Hochberg
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression. Neural Comput. 30 (11) (2018)
Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman, Leigh R. Hochberg, John D. Simeral
BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation. CoRR (2018)
Carlos E. Vargas-Irwin, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, Michael J. Black
Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis. Neural Comput. 27 (1) (2015)