Nonparanormal Graph Quilting with Applications to Calcium Imaging

no code implementations • 22 May 2023 • Andersen Chang, Lili Zheng, Gautam Dasarthy, Genevera I. Allen

Probabilistic graphical models have become an important unsupervised learning tool for detecting network structures for a variety of problems, including the estimation of functional neuronal connectivity from two-photon calcium imaging data.

Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity

no code implementations • 17 Sep 2022 • Andersen Chang, Lili Zheng, Genevera I. Allen

This leads to the Graph Quilting problem, as first introduced by (Vinci et. al.

Graph Learning Low-Rank Matrix Completion

Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data

1 code implementation • 15 Nov 2020 • Kelly Geyer, Frederick Campbell, Andersen Chang, John Magnotti, Michael Beauchamp, Genevera I. Allen

After signal processing, this type of data may be organized as a 4-way tensor with dimensions representing trials, electrodes, frequency, and time.

Dimensionality Reduction