Abstract The exploits of Martina Navratilova and Roger Federer represent the pinnacle of
motor learning. However, when considering the range and complexity of the processes that …

In order to generate skilled and efficient actions, the motor system must find solutions to
several problems inherent in sensorimotor control, including nonlinearity, nonstationarity …

Optimal control theory and its more recent extension, optimal feedback control theory,
provide valuable insights into the flexible and task-dependent control of movements. Here …

Although our understanding of the mechanisms underlying motor adaptation has greatly
benefited from previous computational models, the architecture of motor memory is still …

Robotic manipulanda are extensively used in investigation of the motor control of human
arm movements. They permit the application of translational forces to the arm based on its …

A synthesis of biomechanics and neural control that draws on recent advances in robotics to
address control problems solved by the human sensorimotor system. This book proposes a …

Real-world tasks often require movements that depend on a previous action or on changes
in the state of the world. Here we investigate whether motor memories encode the current …

The ability to predict the dynamics of objects, linking applied force to motion, underlies our
capacity to perform many of the tasks we carry out on a daily basis. Thus, a fundamental …

An important observation in motor physiology is that even the fastest feedback responses
can be modified in a task-dependent manner. However, whether or not such responses in …

Rhythmic and discrete arm movements occur ubiquitously in everyday life, and there is a
debate as to whether these two classes of movements arise from the same or different …