38 citations · 81 across the 9 of their papers we have counts for
5 papers · 1 filter
Adaptive State-Space Multitaper Spectral Estimation
Andrew H. Song, Seong-Eun Kim, Emery N. Brown
Short-time Fourier transform (STFT) is the most common window-based approach for analyzing the spectrotemporal dynamics of time series. To mitigate the effects of high variance on…
A state-space model for dynamic functional connectivity
Sourish Chakravarty, Zachary D. Threlkeld, Yelena G. Bodien +2
Dynamic functional connectivity (DFC) analysis involves measuring correlated neural activity over time across multiple brain regions. Significant regional correlations among neural…
An Analysis of How Spatiotemporal Dynamic Models of Brain Activity Could Improve MEG/EEG Inverse Solutions
Camilo Lamus, Matti S. Hamalainen, Emery N. Brown +1
MEG and EEG are noninvasive functional neuroimaging techniques that provide recordings of brain activity with high temporal resolution, and thus provide a unique window to study fa…
A Spatiotemporal Dynamic Solution to the MEG Inverse Problem: An Empirical Bayes Approach
Camilo Lamus, Matti S. Hämäläinen, Simona Temereanca +2
MEG/EEG are non-invasive imaging techniques that record brain activity with high temporal resolution. However, estimation of brain source currents from surface recordings requires…
State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing
Christopher J. Long, Patrick L. Purdon, Simona Temereanca +3
Determining the magnitude and location of neural sources within the brain that are responsible for generating magnetoencephalography (MEG) signals measured on the surface of the he…