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Visual tracking in development and aging
Jun Maruta
, Lisa A. Spielman
, Umesh Rajashekar
, Jamshid Ghajar
Friedman Brain Institute
Icahn School of Medicine at Mount Sinai
Neurology
Rehabilitation and Human Performance
Research output
:
Contribution to journal
›
Article
›
peer-review
21
Scopus citations
Overview
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Keyphrases
50 Years Old
9%
Age Groups
9%
Age Trends
9%
Age Variation
9%
Age-dependent
9%
Aging
100%
Aging Effect
9%
Circular Trajectory
9%
Cognitive Constructs
9%
Cognitive State
9%
Computer Monitor
9%
Computer Screen
9%
Constant Speed
9%
Cross-sectional Sample
9%
Developmental Trends
9%
Differences between the Sexes
9%
Early Adolescence
9%
Early childhood
9%
Eye Movements
9%
Eye Tracking
9%
Human Visual
9%
Inter-individual Variability
9%
Key Press
9%
Manual Reaction Time
9%
Mean Reaction Time
9%
Neural Substrates
9%
Neurological State
9%
Pediatric Population
9%
Performance Change
9%
Performance Metrics
9%
Positional Precision
9%
Reaction Time
36%
Reaction Time Methods
9%
Saccades
9%
Senescence
9%
Simple Reaction Time
18%
Small Target
9%
Smooth Pursuit
18%
State-independent
9%
Time Metrics
9%
Time Performance
18%
Time-based
9%
Tracking Behavior
9%
Tracking Performance
27%
Tracking Time
27%
Velocity Gain
9%
Video-oculography
9%
Visual Response
27%
Visual Tracking
100%
Neuroscience
Behavior (Neuroscience)
50%
Cognitive State
50%
Eye Movement
100%
Saccade
50%
Smooth Pursuit
100%