Joan Falcó-Roget

This study trains a bimodular spiking actor-critic network on an economic choice task to explore how value and action representations emerge in distributed neural circuits.

This study compares cortical gradients in congenitally blind and sighted adults to assess the role of genetics and experience in shaping functional connectivity.

This study examines how acute ischemic stroke disrupts functional connectivity gradients in the brain, showing that correcting for hemodynamic lags improves gradient accuracy and that behavioral impairments correlate with specific network deviations.

This study uses machine learning to predict post-surgical structural rearrangements in brain tumors by analyzing preoperative functional and diffusion MRI data.

The paper introduces a causality detection framework using reservoir computing for neuroimaging data, showing improved accuracy and reduced false inferences compared to Granger causality in brain network analysis.

This paper uses quantum annealers to detect communities in brain connectomes, finding they achieve higher modularity than classical methods.

This study shows dopamine firing encodes reward prediction errors and motivation during a working memory task in monkeys, with distinct roles for phasic and tonic activity.