Francisco Naveros

This paper develops a deep-learning classifier to identify cell types from extracellular recordings across species with over 95% accuracy.

This study models the inferior olive network to show that phase-locking of subthreshold oscillations to retinal slip signals is necessary for cerebellar VOR learning and improves adaptation through increased network variability.

This study models cerebellar mechanisms underlying age-related stability in VOR function, finding homeostatic plasticity compensates for structural declines.

This paper uses a spiking cerebellar model to show how Purkinje cell burst-pause dynamics regulate vestibular ocular reflex adaptation and learning.