4 papers
Isolating Nonlinear Independent Sources in fMRI with -TCVAE Models
Qiang Li, Shujian Yu, Jesus Malo +3
Learning meaningful latent representations from nonlinear fMRI data remains a fundamental challenge in neuroimaging analysis. Traditional independent component analysis, widely use…
Sequential Multiple Testing: A Second-Order Asymptotic Analysis
Jingyu Liu, Yanglei Song
We study sequential multiple testing with independent data streams, where the goal is to identify an unknown subset of signals while controlling commonly used error metrics, includ…
Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional
Qiang Li, Shujian Yu, Liang Ma +4
Blind source separation, particularly through independent component analysis (ICA), is widely utilized across various signal processing domains for disentangling underlying compone…
Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks
Qiang Li, Jingyu Liu, Vince D. Calhoun
To understand collective network behavior in the complex human brain, pairwise correlation networks alone are insufficient for capturing the high-order interactions that extend bey…