Convolutional neural networks develop major organizational principles of early visual cortex when enhanced with retinal sampling

Keyphrases

• Spatial Frequency 100%
• Convolutional Neural Network 100%
• Early Visual Cortex 100%
• Radial Bias 100%
• Organizing Principles 100%
• Retinal Sampling 100%
• Frequency Dependence 66%
• Retina 66%
• Retinal Ganglion Cells 66%
• Quasiuniform Convergence 66%
• Low Spatial Frequency 33%
• Frequency Content 33%
• High Spatial Frequency 33%
• Visual Cortex 33%
• Cortex 33%
• Eccentricity 33%
• Cell Density 33%
• Non-uniform Distribution 33%
• Primates 33%
• Resampling 33%
• Receptive Field Size 33%
• Cortical Magnification 33%
• Size Frequency 33%
• Sampling Layer 33%
• Spatial Frequency Tuning 33%
• Uniform Convergence 33%
• Convergence Limit 33%

INIS

• sampling 100%
• neural networks 100%
• ganglions 66%
• retina 66%
• convergence 66%
• images 33%
• orientation 33%
• size 33%
• density 33%
• space 33%
• origin 33%
• frequency dependence 33%
• range 33%
• layers 33%
• distribution 33%
• hypothesis 33%
• tuning 33%
• primates 33%

Neuroscience

• Neural Network 100%
• Visual Cortex 100%
• Retinal Ganglion Cell 100%
• Receptive Field 50%
• Cell Density 50%
• Cortical Magnification 50%