Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds

Keyphrases

• Beamforming Method 50%
• Bidirectional Model 50%
• Brain Activity 100%
• Checkerboard 50%
• Correlation Map 50%
• Cortical Activity 50%
• Crucial Aspect 50%
• Decoding Model 50%
• Decoding Process 100%
• Encoding Method 50%
• High-dimensional Space 50%
• Human Brain 50%
• Linear Map 50%
• Low-dimensional Manifolds 50%
• Magnetoencephalography 100%
• Manifold Embedding 50%
• Manifold Representation 50%
• Original Image 50%
• Principal Coordinate Analysis (PCoA) 50%
• Reconstructed Image 50%
• Spatial Data 50%
• Spatial Distribution 50%
• Spatial Layout 50%
• Spatiotemporal 100%
• Spatiotemporal Brain Activity 50%
• Temporal Parts 50%
• Visual Decoding 50%
• Visual Encoding 50%
• Visual Information 50%
• Visual Patterns 100%
• Visual Perception 50%
• Visual Processing 50%
• Visual Stimuli 100%
• Wavelet Coefficients 50%

Computer Science

• Brain Activity 100%
• Component Analysis 33%
• Decoding Process 66%
• Dimensional Manifold 33%
• High Dimensional Space 33%
• Linear Mapping 33%
• Principal Components 100%
• Spatial Distribution 33%
• Spatial Information 33%
• Spatial Layout 33%
• Temporal Information 33%
• Visual Informations 33%
• Visual Pattern 100%
• Visual Processing 33%
• Visual Stimuli 66%
• Wavelet Coefficient 33%

Neuroscience

• Visual Perception 100%