Óscar Vilarroya

The paper develops a multiscale model of experience-dependent behavior in C. elegans, integrating molecular, cellular, and organismal levels to replicate chemotaxis behavior and predict mutant phenotypes.

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

The paper demonstrates that recurrent neuronal networks in C. elegans can exhibit long-term memory through complex dynamics without requiring hard-wired modules.