WA6b.3

Extracting Two-Dimensional Signal Correlation Maps via Gaussian Process Regression with Zernike Means

Sahar Khosravi, University of Maryland, United States; Peter Jendrichovsky, Katherine Maximov, Patrick Kanold, Johns Hopkins University, United States; Behtash Babadi, University of Maryland, United States
Session:
WA6b: Neural Decoding and Decision-Making Lecture
Track:
Biomedical Signal and Image Processing
Location:
Surf and Sand
Presentation Time:
Wed, 29 Oct, 11:05 - 11:30 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session WA6b
WA6b.1: Peak Delta Frequency Regulates the Timing of Decisions
Logan Peters Logan Peters, Greg Bales, Vincent Tran, Ariana Moghbel, Zhaodan Kong, Karen Moxon, University of California, Davis, United States
WA6b.2: Insights into Dynamic Time Warping and Principal Component Analysis for Linear Decoding of Neural Decision-Making
Alec Roadarmel, Logan Peters, Karen Moxon, University of California Davis, United States; Ignacio Saez, Icahn School of Medicine at Mount Sinai, United States
WA6b.3: Extracting Two-Dimensional Signal Correlation Maps via Gaussian Process Regression with Zernike Means
Sahar Khosravi, University of Maryland, United States; Peter Jendrichovsky, Katherine Maximov, Patrick Kanold, Johns Hopkins University, United States; Behtash Babadi, University of Maryland, United States
Contacts