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Andrew D. Levy

Wellcome Centre for Human Neuroimaging, University College London and Aarhus University

Functionalist What matters is the organisation of the processing, not the material

Andrew D. Levy is a computational neuroscientist specializing in generative models of brain-body interaction and interoceptive inference. Working with Peter Zeidman, Micah Allen, and Karl J. Friston, Levy extends Bayesian model inversion from isolated cortical circuits to closed-loop visceral physiology.

In the November 2026 preprint Embodied Dynamic Causal Modelling: Brain and Cardiac Effective Connectivity (bioRxiv 2026.10.27.762241), Levy and his co-authors introduce Embodied Dynamic Causal Modelling (Embodied DCM) and instantiate the Brainstem Cardiac Network (BCN). The architecture links cortical prediction hierarchies across five distinct brainstem nuclei, a viscerosensory thalamic relay nucleus, and sinoatrial node pacemaker dynamics, using simultaneous electroencephalography (EEG) and electrocardiography (ECG) recordings during an auditory Go/No-Go paradigm to recover directed synaptic efficacy across the brain-heart axis.

Within the study of emerging consciousness, Levy’s work supplies the generative inference machinery for embodied and interoceptive accounts of selfhood. By replacing descriptive heart-rate variability correlations with an invertible biophysical model of visceral message passing, Embodied DCM tests how autonomic feedback shapes the precision of conscious perceptual and motor decisions.

Known for. Embodied Dynamic Causal Modelling, Brainstem Cardiac Network, brain-heart effective connectivity

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