Brain perturbation studies allow detailed causal inferences of behavioral and neural
processes. Because the combination of brain perturbation methods and neural …

This paper provides a comprehensive review of deep structural causal models (DSCMs),
particularly focusing on their ability to answer counterfactual queries using observational …

Mapping the causal effects of one brain region on another is a challenging problem in
neuroscience that we approached through invasive direct manipulation of brain function …

Identifiability is a highly prized property of statistical models. This thesis investigates this
property in nonlinear models encountered in two fields of statistics: representation learning …

The extent to which functional MRI (fMRI) reflects direct neuronal changes remains
unknown. Using 160 simultaneous electrical stimulation (es-fMRI) and intracranial brain …

Human brain dynamics are organized into a multi-scale network structure that contains
multiple tight-knit, meso-scale communities. Recent work has demonstrated that many …