A combined method to estimate parameters of the thalamocortical model from a heavily noise-corrupted time series of action potential

Keyphrases

• Combined Method 100%
• Action Potential 100%
• Thalamocortical Model 100%
• Parkinson's Disease 66%
• Unscented Kalman Filter 66%
• Thalamocortical Neurons 66%
• Numerical Results 33%
• Cortex 33%
• Further Treatment 33%
• Nonlinear Dynamics 33%
• Robustness to Noise 33%
• Noisy Conditions 33%
• Brain Function 33%
• Basal Ganglia 33%
• Neuron Model 33%
• Estimate Model Parameter 33%
• Normal Brain 33%
• Pathological Brain 33%
• Dynamic Treatment 33%
• Heavy Noise 33%

Engineering

• Parameter Estimate 100%
• Kalman Filter 100%
• Combined Method 100%
• Model Parameter 50%
• Non-Linear Dynamics 50%

Neuroscience

• Action Potential 100%
• Parkinson's Disease 33%
• Treatment of Parkinson's Disease 33%
• Basal Ganglia 33%
• Brain Function 33%