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Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds
Po Chih Kuo,
Yong Sheng Chen
*
,
Li Fen Chen
,
Jen Chuen Hsieh
*
此作品的通信作者
資訊科學與工程研究所
腦科學研究所
研究成果
:
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同行評審
5
引文 斯高帕斯(Scopus)
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Keyphrases
Decoding Process
100%
Spatiotemporal
100%
Visual Stimuli
100%
Brain Activity
100%
Magnetoencephalography
100%
Visual Patterns
100%
Spatial Distribution
50%
Spatial Data
50%
Reconstructed Image
50%
Original Image
50%
Encoding Method
50%
Beamforming Method
50%
Principal Coordinate Analysis (PCoA)
50%
Wavelet Coefficients
50%
Visual Information
50%
Checkerboard
50%
High-dimensional Space
50%
Visual Decoding
50%
Human Brain
50%
Linear Map
50%
Bidirectional Model
50%
Low-dimensional Manifolds
50%
Correlation Map
50%
Visual Processing
50%
Spatiotemporal Brain Activity
50%
Decoding Model
50%
Visual Perception
50%
Temporal Parts
50%
Manifold Representation
50%
Spatial Layout
50%
Cortical Activity
50%
Crucial Aspect
50%
Manifold Embedding
50%
Visual Encoding
50%
Computer Science
Principal Components
100%
Brain Activity
100%
Visual Pattern
100%
Decoding Process
66%
Visual Stimuli
66%
Component Analysis
33%
Temporal Information
33%
Spatial Information
33%
Wavelet Coefficient
33%
Visual Informations
33%
Spatial Layout
33%
Dimensional Manifold
33%
Linear Mapping
33%
Visual Processing
33%
Spatial Distribution
33%
High Dimensional Space
33%
Neuroscience
Visual Perception
100%