Carlos Aleluia

Papers

Total Citations

H-Index

About

Carlos Aleluia is a researcher whose work sits at the intersection of computational neuroscience and motor control, with a particular focus on the biomechanics and neural strategies underlying eye movements. His key research area involves modelling the human saccadic system—the rapid, ballistic movements that shift gaze between targets. Aleluia’s major contribution lies in addressing the “degrees-of-freedom problem” in 3D eye rotations: while six extra-ocular muscles provide three rotational degrees of freedom, only two are strictly needed to point gaze. His 2021 paper, “Modelling 3D saccade generation by feedforward optimal control” (15 citations), proposes that the brain solves this redundancy by using a feedforward optimal control strategy, elegantly predicting how the eyes achieve efficient, accurate saccades without relying on sensory feedback during the movement. This work has been influential in understanding how the central nervous system simplifies complex motor tasks. Aleluia’s research is notable for bridging theoretical control theory with empirical oculomotor data, offering a framework that could extend to other motor systems. His contributions are particularly valuable for students and researchers in motor neuroscience, robotics, and bio-inspired control, demonstrating how computational models can reveal the brain’s elegant solutions to physical constraints.