Joshua Levitt

According to our database, Joshua Levitt authored at least 3 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI.

Joshua Levitt, Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis

NeuroImage, June, 2023

The MotoNet: A 3 Tesla MRI-Conditional EEG Net with Embedded Motion Sensors.

Joshua Levitt, André J. W. van der Kouwe, Hongbae Jeong, Laura D. Lewis, Giorgio Bonmassar

Sensors, April, 2023

2020

Pain phenotypes classified by machine learning using electroencephalography features.

Joshua Levitt, Muhammad M. Edhi, Ryan V. Thorpe, Jason W. Leung, Mai Michishita, Suguru Koyama, Satoru Yoshikawa, Keith A. Scarfo, Alexios G. Carayannopoulos, Wendy Gu, Kyle H. Srivastava, Bryan A. Clark, Rosana Esteller, David A. Borton, Stephanie R. Jones, Carl Y. Saab

NeuroImage, 2020