Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions

Keyphrases

• Kalman Filter 100%
• Neurophysiological Processes 100%
• Process Imaging 100%
• Optimization Methods 66%
• Sampling Methods 33%
• Electromagnetic Source Imaging 33%
• Gradient-based 33%
• Filter Performance 33%
• Imaging Techniques 33%
• Brain Dynamics 33%
• Prediction Error 33%
• Magnetoencephalography 33%
• Efficient Framework 33%
• Time-resolved 33%
• Simulation Data 33%
• Current Source 33%
• Multiple States 33%
• Neural Mass Model 33%
• Parameter Estimation Error 33%
• Signal Prediction 33%
• Black-box Optimization 33%
• Suboptimal Results 33%
• Electromagnetic Sources 33%
• Gaussian Process Optimization 33%
• Conventional Optimization 33%

Computer Science

• Kalman Filter 100%
• Initial Condition 100%
• Imaging Process 100%
• Objective Function 66%
• Estimation Error 33%
• Optimization Technique 33%
• Prediction Error 33%
• Parameter Estimation 33%
• Process Optimization 33%
• Data Simulation 33%