Motor Learning and Control

  1. Computational Approaches to Motor Control
    1. Internal Models
      1. Forward Models
        1. Sensory Prediction
          1. State Estimation
            1. Efference Copy Mechanisms
              1. Multiple Forward Models
              2. Inverse Models
                1. Motor Command Calculation
                  1. Desired Outcome Achievement
                    1. Multiple Inverse Models
                      1. Model Selection
                      2. Model Learning
                        1. Supervised Learning
                          1. Unsupervised Learning
                            1. Adaptation Mechanisms
                          2. State Estimation
                            1. Sensory Integration
                              1. Optimal Cue Combination
                                1. Weighted Averaging
                                  1. Reliability Estimation
                                  2. Kalman Filtering
                                    1. Prediction Step
                                      1. Update Step
                                        1. Uncertainty Representation
                                          1. Motor Control Applications
                                          2. Bayesian Inference
                                            1. Prior Knowledge
                                              1. Likelihood Functions
                                                1. Posterior Estimation
                                                  1. Uncertainty Quantification
                                                2. Motor Planning
                                                  1. Trajectory Planning
                                                    1. Minimum Jerk Trajectories
                                                      1. Via-Point Movements
                                                        1. Obstacle Avoidance
                                                        2. Optimal Control
                                                          1. Cost Functions
                                                            1. Dynamic Programming
                                                              1. Linear Quadratic Regulators
                                                              2. Movement Primitives
                                                                1. Dynamic Movement Primitives
                                                                  1. Motor Synergies
                                                                    1. Modular Control
                                                                  2. Decision Making in Motor Control
                                                                    1. Action Selection
                                                                      1. Winner-Take-All Mechanisms
                                                                        1. Competitive Dynamics
                                                                          1. Basal Ganglia Models
                                                                          2. Movement Preparation
                                                                            1. Reaction Time Models
                                                                              1. Preparation Benefits
                                                                                1. Movement Precuing
                                                                                2. Speed-Accuracy Optimization
                                                                                  1. Utility Maximization
                                                                                    1. Time Pressure Effects
                                                                                      1. Strategic Adjustments

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                                                                                  6. Theories and Models of Motor Learning

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                                                                                  8. Applications and Special Populations