Our Neuromuscular Control Colloquium currently takes place on Monday afternoons between 16:00 and 18:00. This colloquium will be used to discuss both current and classic papers in computational neuromuscular control. These can include motor learning and adaptation from a computational perspective, computational neuroscience, neuromechanics, and motor control. Participants will be expected to read the selected papers, present them during the seminar to the participants and be prepared to discuss the positives and negatives of the articles. Occasionally guest lecturers will be invited to present their own work. The colloquium is open to all interested people.
A Masters level course in which we discuss human motor control from a robotics perspective, specifically focusing on issues such as neuromechanics (muscle, joint and limb stiffness), prediction (predictive feedforward control), motion planning (optimal control and cost functions), coordinate transformations, and integration and control of sensory feedback. Finally we will discuss applications in robotics and rehabilitation.
This Masters level class will discuss the neural and computational basis of human learning. The class will focus on understanding unsupervised learning, supervised learning and reinforcement learning. We will start with discussions of the basic physiology behind each of these three types of learning, and proceed to evidence that each occurs in human learning. Matlab will be used during the laboratory sessions to simulate each of these different types of learning in order to understand the mechanisms behind them. These learning systems will then be discussed in terms of their applications in human sensorimotor control, for example the use of supervised learning in the learning of a forward model.
A Bachelors level course introducing the peripheral and central physiology involved in the neuromuscular system of the human body.