Andrew D Levy

This paper introduces Embodied Dynamic Causal Modelling to estimate effective connectivity across the brain-heart axis using multimodal data from an auditory Go/No-Go task.

This paper introduces DCM-SR, a new framework for modeling time-varying neural dynamics, and applies it to study slow cortical potentials in cognitive tasks.

This paper introduces Event-Related Warping (ERW), a method for temporal alignment and jitter correction in sequential experimental paradigms, improving response recovery and preserving inter-channel relationships.

This paper uses MEG and dynamic causal modelling to show that cardiac systole suppresses auditory deviant responses through local inhibitory gain control, not hierarchical attentional modulation.

This paper introduces a formal model of cardiac active inference to explain how cardiac signals influence exteroceptive perception and confidence, and demonstrates its implications for fear perception and physiological reactivity.

This paper investigates the use of mouth-based sensors in magnetoencephalography (MEG) to study the human hippocampus, finding that mouth sensors show unique task-related activity and anti-correlation with temporal lobe sensors.