Angelo Arleo

Prediction and updating abilities in motor imagery during the Timed Up and Go task in young and older adults

This study compares prediction and updating abilities in motor imagery during the Timed Up and Go task in young and older adults, finding similar or better accuracy in older adults but distinct cognitive and sensorimotor factors influencing each ability.

Age-related differences in electrophysiological correlates of visuospatial reorientation

This study examines age-related differences in EEG activity during visuospatial reorientation tasks, identifying three key electrophysiological changes in older adults.

Foveolar drusen decrease fixation stability in presymptomatic AMD

This study links foveal drusen to altered fixation stability in presymptomatic AMD using high-speed retinal imaging.

The role of olivary phase-locking oscillations in cerebellar sensorimotor adaptation

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.

Scene-selective regions encode the vertical position of navigationally relevant information in young and older adulthood

This study shows that scene-selective brain regions encode vertical position of navigational objects in both young and older adults, independent of retinotopic biases.

Age-related disparities in oscillatory dynamics within scene-selective regions during spatial navigation

This study examines age-related differences in gaze patterns and EEG activity in scene-selective brain regions during spatial navigation tasks involving vertical object positioning.

The vertical position of visual information conditions spatial memory performance in healthy aging

This study shows that spatial memory in older adults is impaired for objects in the upper visual field, suggesting vertical position affects memory performance.

Modulation of spatial cue processing across the lifespan: a geometric polarization of space restores allocentric navigation strategies in children and older adults

This study shows that children and older adults can use allocentric navigation strategies equally when geometric cues are available, challenging the idea that strategy preference is age-related.

Selective neural coding of object, feature, and geometry spatial cues in humans

The paper investigates neural coding of object, feature, and geometry spatial cues in humans using fMRI, finding synergistic hippocampal-striatal interactions and distinct neural signatures for each cue type.

Mobile brain/body imaging of landmark-based navigation with high-density EEG

The paper uses mobile EEG to study landmark-based navigation in virtual reality, identifying brain areas and neural modulations involved in spatial learning and behavior.

Differential brain activity in visuo-perceptual regions during landmark-based navigation in young and healthy older adults

This study investigates brain activity during landmark-based navigation in young and older adults, finding age-related differences in neural networks and strategies.

Homeostatic cerebellar compensation of age-related changes of vestibulo-ocular reflex adaptation: a computational epidemiology study

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

Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

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

Eye-movements as a signature of age-related differences in global planning strategies for spatial navigation

This study investigates age-related differences in re-planning strategies for spatial navigation by analyzing eye movements during a virtual maze task and using reinforcement learning.

Convis: A Toolbox To Fit and Simulate Filter-based Models of Early Visual Processing

Convis is a Python toolbox for simulating filter-based models of early visual processing, offering flexibility and gradient-based optimization over existing methods.