Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression

Keyphrases

• Spatiotemporal 100%
• Functional Magnetic Resonance Imaging 100%
• Temporal Support 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Nonlinear Modeling 100%
• Nonlinear Estimation 100%
• FMRI Analysis 66%
• Neural Activity 33%
• Multi-resolution 33%
• Signal Analysis 33%
• Low-frequency Noise 33%
• Motion Estimation 33%
• Multi-task 33%
• Merging Model 33%
• Support Vector Machine 33%
• Learning Methodology 33%
• Spatio-temporal Autocorrelation 33%
• Novel Formulations 33%
• Statistical Learning 33%
• Data-driven Methods 33%
• Noise Component 33%

Computer Science

• Support Vector Regression 100%
• Analysis Signal 50%
• Frequency Noise 50%
• Motion Estimation 50%
• Support Vector Machine 50%