MA6b.4

Variational Covariance Smoothing for Dynamic Functional Connectivity Analysis

Ruwanthi Abeysekara, Jonathan Simon, Behtash Babadi, University of Maryland, United States
Session:
MA6b: Neural Signal Processing Lecture
Track:
Biomedical Signal and Image Processing
Location:
Evergreen
Presentation Time:
Mon, 28 Oct, 11:30 - 11:55 PT (UTC -8)
Session Chair:
Saiprasad Ravishankar, Michigan State University
Presentation
Discussion
Resources
No resources available.
Session MA6b
MA6b.1: Simultaneous localization of multiple oscillations using dynamic solutions to the inverse problem in E/MEG source analysis
Mingjian He, Proloy Das, Stanford University, United States; Amanda Beck, Massachusetts Institute of Technology, United States; Gladia Hotan, A*STAR, United States; Patrick Purdon, Stanford University, United States
MA6b.2: An Instrumental Variable Approach to Functional Network Discovery from Optogenetic Experiments
S Pardis Hajiseyedrazi, Behtash Babadi, University of Maryland, United States
MA6b.3: Canonical Parameterization of Neural Power Spectra for the Detection of Mild Traumatic Brain Injury
Anderson Roy Phillips, Aila Teimouri, Behnaam Aazhang, Rice University, United States
MA6b.4: Variational Covariance Smoothing for Dynamic Functional Connectivity Analysis
Ruwanthi Abeysekara, Jonathan Simon, Behtash Babadi, University of Maryland, United States
Contacts