Nicholas K. Branigan

The paper investigates excitation-inhibition balance dynamics in brain networks during naturalistic behavior in rats, finding coordinated E-I dynamics and transient imbalances linked to behavioral changes.

This paper introduces MDSI-AVI, a framework for modeling whole-brain causal interactions in fMRI data, revealing new insights into working memory mechanisms.

The paper investigates nonergodicity and Simpson's paradox in cognitive control dynamics using brain imaging and behavioral data from over 4,000 children, revealing brain-behavior associations that reverse between between-subjects and within-subjects analyses.

This paper introduces a computational model to analyze inhibitory control mechanisms using data from a large cohort study, revealing individual variability and nonergodicity in cognitive processes.

This study investigates the default mode network (DMN) in freely exploring rats, finding it dynamically encodes spatial exploration behaviors and challenges the notion of the DMN being task-negative.