427 citations · 655 across the 27 of their papers we have counts for
5 papers · 1 filter
Causal Autoregressive Flows
Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech +1
Two apparently unrelated fields -- normalizing flows and causality -- have recently received considerable attention in the machine learning community. In this work, we highlight an…
The principle of stationary action in neural systems
Erik D. Fagerholm, Karl J. Friston, Rosalyn J. Moran +1
The principle of stationary action is a cornerstone of modern physics, providing a powerful framework for investigating dynamical systems found in classical mechanics through to qu…
Bayesian optimization for automatic design of face stimuli
Pedro F. da Costa, Romy Lorenz, Ricardo Pio Monti +2
Investigating the cognitive and neural mechanisms involved with face processing is a fundamental task in modern neuroscience and psychology. To date, the majority of such studies h…
Fighting seizures with seizures: diffusion and stability in neural systems
Erik D. Fagerholm, Chayanin Tangwiriyasakul, Karl J. Friston +8
Seizure activity is a ubiquitous and pernicious pathophysiology that, in principle, should yield to mathematical treatments of (neuronal) ensemble dynamics - and therefore interven…
Estimating required 'lockdown' cycles before immunity to SARS-CoV-2: Model-based analyses of susceptible population sizes, 'S0', in seven European countries including the UK and Ireland
Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen +6
We used Bayesian model inversion to estimate epidemic parameters from the reported case and death rates from seven countries using data from late January 2020 to April 5th 2020. Tw…