Alon Itzkovitch

This study identifies eye movement patterns associated with spatial disorientation during flight simulations, showing that instrument focus reduces visual illusions while HUD engagement mitigates vestibular illusions.

This study improves microclimate model predictions by integrating drone-based data and machine learning, reducing errors by over 30% and offering insights for better model parameterization.

This study investigates how non-reinforced and reinforced preference changes are maintained over time using functional MRI, finding distinct neural connectivity patterns in different brain networks.

This study validates Garmin's stress score against HRV metrics from ECG recordings, finding significant correlations and differences between stress and rest conditions.

The paper develops a Bayesian computational model to predict individual differences in non-reinforced preference changes during Cue-Approach Training.

This paper introduces a probabilistic model for indel evolution that distinguishes insertions from deletions, showing higher deletion rates and negative correlation with population size in empirical data.