Jacob Billings

This study compares topological and traditional metrics for segmenting brain states from fMRI data, finding topological methods more accurate and generalizable.

This paper shows that topological features of EEG data are reference-invariant, while correlation spaces are not, suggesting topological analysis can capture individual brain dynamics.

The paper shows that resting brain fluctuations in mice are intrinsically linked to visual response dynamics through quasiperiodic patterns.

This study examines how quasi-periodic patterns (QPPs) of low-frequency neural activity contribute to functional connectivity in the brain, showing differences between resting-state and task-performing individuals.

The paper maps whole-brain dynamics into a continuous state space using scale transformations and identifies stimulus-dependent brain states from resting and task data.