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Spatial constancy and the brain: Insights from neural networks
Robert L. White
,
Lawrence H. Snyder
Institute of Clinical and Translational Sciences (ICTS)
Department of Neuroscience
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Section of Movement Disorders
Neuroimaging Labs Research Center
DBBS - Neurosciences
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Scopus citations
Overview
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Keyphrases
Neural Network
100%
Internal Representation
100%
Spatial Constancy
100%
Monkey
50%
Contextual Cueing
50%
Non-visualization
50%
Lateral Intraparietal Area
50%
Spatial Location
50%
Gaze Shift
50%
Spatial Data
50%
Visual Space
50%
Self-generated Movements
50%
Hidden Unit
50%
Recurrent Neural Network Model
50%
Spatial Updating
50%
Single-cell Biology
50%
Extra-retinal Signals
50%
Model Units
50%
Behavioral Patterns
50%
Location-based
50%
Neuroscience
Neural Network
100%
Behavior (Neuroscience)
50%
Recurrent Neural Network
50%