Power laws and fragility in flow networks. - Jesse Shore; Catherine Jean Chu; Matt T. Bianchi (Soc. Networks, 2013)

EEG functional connectivity is partially predicted by underlying white matter connectivity. - Catherine Jean Chu; Naoaki Tanaka; J. Diaz; Brian L. Edlow; Ona Wu; Matti S. Hämäläinen; Steven M. Stufflebeam; Sydney S. Cash; Mark A. Kramer (NeuroImage, 2015)

Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. - Xinyu Kang; Piotr Fryzlewicz; Catherine Jean Chu; Mark A. Kramer; Eric D. Kolaczyk (ACSSC, 2017)

Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy. - Qiang Li; M. Brandon Westover; Rui Zhang 005; Catherine Jean Chu (Frontiers Comput. Neurosci., 2021)

Local and distant responses to single pulse electrical stimulation reflect different forms of connectivity. - Britni Crocker; Lauren Ostrowski; Ziv M. Williams; Darin D. Dougherty; Emad N. Eskandar; Alik S. Widge; Catherine Jean Chu; Sydney S. Cash; Angelique C. Paulk (NeuroImage, 2021)

Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. - Xiaojing Zhu; Heather Shappell; Mark A. Kramer; Catherine Jean Chu; Eric D. Kolaczyk (PLoS Comput. Biol., 2023)

A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field Spectra. - Mark A. Kramer; Catherine Jean Chu (Neural Comput., 2024)

Accounting for edge uncertainty in stochastic actor-oriented models for dynamic network analysis. - Heather Shappell; Mark A. Kramer; Catherine Jean Chu; Eric D. Kolaczyk (Netw. Sci., 2025)