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Journal
/
Neuroscience
/
Python-Based Tool for Quantitative Optokinetic Reflex Assessment in Animals
/
Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses
JoVE Journal
Neuroscience
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JoVE Journal
Neuroscience
PyOKR: A Semi-Automated Method for Quantifying Optokinetic Reflex Tracking Ability
Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses
Python-Based Tool for Quantitative Optokinetic Reflex Assessment in Animals
DOI:
10.3791/66779-v
•
01:46 min
•
April 12, 2024
•
James K. Kiraly
,
Scott C. Harris
,
Timour Al-Khindi
,
Felice A. Dunn
,
Alex L. Kolodkin
1
Solomon H. Snyder Department of Neuroscience, The Johns Hopkins Kavli Neuroscience Discovery Institute
,
The Johns Hopkins University School of Medicine
,
2
Department of Ophthalmology
,
University of California, San Franciso
Tags
Optokinetic Reflex
OKR
Eye Tracking
Visual System
Image Stabilization
PyOKR
Semi-automated Analysis
Video-oculography
Slow Tracking Phase
Fast Phase Saccade
Eye Movement Gain
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Author Spotlight: A Streamlined and Accessible Analysis Method to Quantify Optokinetic Reflex Tracking Responses
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