Ocular-Motor lab @ Berkeley
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Measuring the Influence of Magnetic Vestibular Stimulation on Reflexive Eye-Movements, Self-Motion Perception, and Cognitive Performance in a 7 T MRT
Jove
2023
Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images
tvst
2023
Eye and head movement recordings using smartphones for telemedicine applications: measurements of accuracy and precision
Front Neurol
2022
aEYE: A Deep Learning System for Video Nystagmus Detection
Front Neurol
2022
Eye tracking: empirical foundations for a minimal reporting guideline
Behavioral Research Methods
2022
Detection of Saccades and Quick-Phases in Eye Movement Recordings with Nystagmus
ETRA
2020
Proof of Concept for an “eyePhone” App to Measure Video Head Impulses
Digital Biomarkers
2020
Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus
ETRA
2019
Simultaneous recordings of human microsaccades and drifts with a contemporary video eye tracker and the search coil technique.
PLoS One
2015
Knowing what the brain is seeing in three dimensions: A novel, noninvasive, sensitive, accurate, and low-noise technique for measuring ocular torsion.
JoV
2015
Unsupervised clustering method to detect microsaccades.
JoV
2014
Simultaneous recordings of ocular microtremor and microsaccades with a piezoelectric sensor and a video-oculography system.
PeerJ
2013
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