A sliced inverse regression (SIR) decoding the forelimb movement from neuronal spikes in the rat motor cortex

Keyphrases

• Brain Signals 12%
• Cortex 12%
• Cursor 12%
• Decoding Algorithm 25%
• Decoding Method 37%
• Decoding Performance 12%
• Effective Dimension Reduction 12%
• Feature Selection 12%
• Feature Selection Methods 12%
• Forelimb Movement 100%
• Geographically Weighted Principal Component Analysis (GWPCA) 12%
• Lever Press 12%
• Movement Direction 12%
• Movement Kinematics 12%
• Movement Prediction 12%
• Movement Speed 12%
• Movement Trajectory 12%
• Network Decoding 12%
• Neural Decoding 12%
• Neural Network 50%
• Neuronal Spikes 100%
• Nonlinear Regression 12%
• Number of Neurons 25%
• Optimal Linear Estimator 50%
• Popular 12%
• Population Vector 50%
• Primary Motor 12%
• Principal Coordinate Analysis (PCoA) 37%
• Prosthetic Devices 12%
• Rat Motor Cortex 100%
• Robust Decoding 12%
• Root Mean Square Error 12%
• Selection Network 12%
• Sequential Feature Selection 37%
• Single Unit Activity 12%
• Sliced Inverse Regression 100%
• Transform Matrix 12%
• Vector Algorithm 50%

Neuroscience

• Motor Cortex 100%
• Neural Network 100%
• Single Unit Activity 25%