427 citations · 655 across the 27 of their papers we have counts for
29 papers
Transformer-based normative modelling for anomaly detection of early schizophrenia
Pedro F Da Costa, Jessica Dafflon, Sergio Leonardo Mendes +5
Despite the impact of psychiatric disorders on clinical health, early-stage diagnosis remains a challenge. Machine learning studies have shown that classifiers tend to be overly na…
Neuroadaptive electroencephalography: a proof-of-principle study in infants
Pedro F. da Costa, Rianne Haartsen, Elena Throm +4
A core goal of functional neuroimaging is to study how the environment is processed in the brain. The mainstream paradigm involves concurrently measuring a broad spectrum of brain…
Fine-tuning neural excitation/inhibition for tailored ketamine use in treatment-resistant depression
Erik D. Fagerholm, Robert Leech, Steven Williams +3
The glutamatergic modulator ketamine has been shown to rapidly reduce depressive symptoms in patients with treatment-resistant major depressive disorder (TRD). Although its mechani…
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…