24 citations · 40 across the 21 of their papers we have counts for
9 papers · 1 filter
BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data
Meini Tang, Chee-Ming Ting, Hernando Ombao
Intrinsic connectivity networks (ICNs) are specific dynamic functional brain networks that are consistently found under various conditions including rest and task. Studies have sho…
Time-varying optimization for Spike Inference from Multi-Trial Calcium Recordings
Tong Shen, Kevin Johnston, Gyorgy Lur +3
Optical imaging of genetically encoded calcium indicators is a powerful tool to record the activity of a large number of neurons simultaneously over a long period of time from free…
Change-point detection using spectral PCA for multivariate time series
Shuhao Jiao, Tong Shen, Zhaoxia Yu +1
We propose a two-stage approach Spec PC-CP to identify change points in multivariate time series. In the first stage, we obtain a low-dimensional summary of the high-dimensional ti…
Probabilistic Projection of the Sex Ratio at Birth and Missing Female Births by State and Union Territory in India
Fengqing Chao, Christophe Z. Guilmoto, Samir K. C. +1
The sex ratio at birth (SRB) in India has been reported imbalanced since the 1970s. Previous studies have shown a great variation in the SRB across geographic locations in India ti…
Modeling Brain Connectivity with Graphical Models on Frequency Domain
Xu Gao, Weining Shen, Chee-Ming Ting +3
Multichannel electroencephalograms (EEGs) have been widely used to study cortical connectivity during acquisition of motor skills. In this paper, we introduce copula Gaussian graph…
Modeling non-linear spectral domain dependence using copulas with applications to rat local field potentials
Charles Fontaine, Ron D. Frostig, Hernando Ombao
This paper intends to develop tools for characterizing non-linear spectral dependence between spontaneous brain signals. We use parametric copula models (both bivariate and vine mo…