Noise—random disturbances of signals—poses a fundamental problem for information
processing and affects all aspects of nervous-system function. However, the nature, amount …

The sensorimotor system is a product of evolution, development, learning and adaptation—
which work on different time scales to improve behavioral performance. Consequently, many …

Individual differences in motor learning ability are widely acknowledged, yet little is known
about the factors that underlie them. Here we explore whether movement-to-movement …

Motor Learning and Performance: From Principles to Application, Sixth Edition With Web
Study Guide, enables students to appreciate high-level skilled activity and understand how …

“This tenth edition of Motor Control and Learning extends and updates the major revisions in
the previous edition. The many changes in that edition included new chapters, restructured …

Computer graphics applications controlled through natural gestures are gaining increasing
popularity these days due to recent developments in low-cost tracking systems and gesture …

A central problem in motor control is understanding how the many biomechanical degrees of
freedom are coordinated to achieve a common goal. An especially puzzling aspect of …

According to Fitts' law, human movement can be modeled by analogy to the transmission of
information. Fitts' popular model has been widely adopted in numerous research areas …

The student-friendly fourth edition of Motor Learning and Performance: A Situation-Based
Learning Approach expands on the fundamentals of motor performance and learning …

A stochastic optimized-submovement model is proposed for Fitts' law, the classic logarithmic
trade-off between the duration and spatial precision of rapid aimed movements. According to …