26 citations · 178 across the 17 of their papers we have counts for
4 papers · 1 filter
Identification of Effective Connectivity Subregions
Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang +1
Standard fMRI connectivity analyses depend on aggregating the time series of individual voxels within regions of interest (ROIs). In certain cases, this spatial aggregation implies…
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
Biwei Huang, Kun Zhang, Mingming Gong +1
In many scientific fields, such as economics and neuroscience, we are often faced with nonstationary time series, and concerned with both finding causal relations and forecasting t…
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data
Biwei Huang, Kun Zhang, Ruben Sanchez-Romero +3
Autism spectrum disorder (ASD) is one of the major developmental disorders affecting children. Recently, it has been hypothesized that ASD is associated with atypical brain connect…
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Biwei Huang, Kun Zhang, Jiji Zhang +4
It is commonplace to encounter heterogeneous or nonstationary data, of which the underlying generating process changes across domains or over time. Such a distribution shift featur…