Jeremy R. Manning

The paper uses topological analysis of fMRI dynamics to show that pairwise co-fluctuations better capture task states and link to personality and symptom dimensions than other interaction representations.

The paper examines how brain activity patterns relate to cognitive processes by analyzing informativeness and compressibility across different experimental conditions.

The paper investigates how different physical activity intensities relate to specific memory and mental health outcomes using self-reported data and memory tests.

The paper shows that hippocampal activity patterns across different rats can be predicted using geometric alignment, revealing shared representational structures in rodent memory encoding.

This study examines intersubject synchronization of intracranial EEG signals in the ventromedial prefrontal cortex (vmPFC) and auditory cortex during naturalistic viewing, finding lower synchronization in vmPFC and some shared states in emotionally salient scenes.

The paper examines how individual differences in ventromedial prefrontal cortex (vmPFC) state dynamics during naturalistic viewing reflect affective experiences across four studies.

The paper examines pupil dilation responses during a recognition memory task and finds that false feelings of familiarity about faces are associated with increased pupil dilations.

The paper develops a geometric framework to model how naturalistic experiences are transformed into episodic memories by analyzing neural and behavioral data during TV episode viewing.

The paper introduces a Gaussian process model to infer high spatiotemporal resolution neural activity from low-density intracranial recordings across individuals and tasks.

This paper introduces HTFA, a Bayesian hierarchical matrix factorization model, to discover dynamic full-brain functional connectivity patterns from fMRI data and shows it can decode cognitive states during storytelling and TV watching.