Neuromotor Control

  1. Computational Approaches
    1. Kinematic Models
      1. Forward Kinematics
        1. Joint Angles to End-Effector Position
          1. Transformation Matrices
          2. Inverse Kinematics
            1. Desired Position to Joint Angles
              1. Multiple Solutions
                1. Optimization Methods
              2. Dynamic Models
                1. Forward Dynamics
                  1. Forces to Motion
                    1. Equations of Motion
                    2. Inverse Dynamics
                      1. Motion to Forces
                        1. Joint Torque Calculation
                      2. Neural Network Models
                        1. Artificial Neural Networks
                          1. Feedforward Networks
                            1. Recurrent Networks
                            2. Biologically Inspired Models
                              1. Spiking Neural Networks
                                1. Realistic Neural Models
                                2. Learning Algorithms
                                  1. Supervised Learning
                                    1. Unsupervised Learning
                                      1. Reinforcement Learning
                                    2. Bayesian Models
                                      1. Probabilistic Inference
                                        1. Prior Distributions
                                          1. Likelihood Functions
                                            1. Posterior Estimation
                                            2. Kalman Filtering
                                              1. State Estimation
                                                1. Sensory Fusion
                                                2. Bayesian Decision Theory
                                                  1. Optimal Decision Making
                                                    1. Cost-Benefit Analysis
                                                  2. Reinforcement Learning
                                                    1. Actor-Critic Models
                                                      1. Policy Learning
                                                        1. Value Function Learning
                                                        2. Temporal Difference Learning
                                                          1. Prediction Error
                                                            1. Reward Processing
                                                            2. Application to Motor Control
                                                              1. Skill Acquisition
                                                                1. Adaptation

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                                                            6. Control of Specific Motor Behaviors

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                                                            8. Motor Control Disorders