Motor learning encompasses a wide range of phenomena, ranging from relatively low-level
mechanisms for maintaining calibration of our movements, to making high-level cognitive …

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

Humans spend a lifetime learning, storing and refining a repertoire of motor memories. For
example, through experience, we become proficient at manipulating a large range of objects …

We propose a new model of motor learning to explain the exceptional dexterity and rapid
adaptation to change, which characterize human motor control. It is based on the brain …

Sensorimotor learning is supported by at least two parallel systems: a strategic process that
benefits from explicit knowledge and an implicit process that adapts subconsciously. How do …

It has been shown that humans are able to selectively control the endpoint impedance of
their arms when moving in an unstable environment. However, directional instability was …

The pervasive nature of handedness across human history and cultures is a salient
consequence of brain lateralization. This paper presents evidence that provides a structure …

Recent theories of limb control emphasize motor cortex as a dynamical system, with
planning setting the initial neural state, and execution arising from the self-limiting evolution …

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 …

In control, stability captures the reproducibility of motions and the robustness to
environmental and internal perturbations. This paper examines how stability can be …