Much progress has been made in brain-machine interfaces (BMI) using decoders such as
Kalman filters and finding their parameters with closed-loop decoder adaptation (CLDA) …

To want something now rather than later is a common attitude that reflects the brain's
tendency to value the passage of time. Because the time taken to accomplish an action …

Human movements with or without vision exhibit timing (ie speed and duration) and
variability characteristics which are not well captured by existing computational models …

Optimality principles have been proposed as a general framework for understanding motor
control in animals and humans largely based on their ability to predict general features …

Optimization models explain many aspects of biological goal-directed movements. However,
most such models use a finite-horizon formulation, which requires a prefixed movement …

Noises are ubiquitous in sensorimotor interactions and contaminate the information
provided to the central nervous system (CNS) for motor learning. An interesting question is …

Brain-machine interface (BMI) performance has been improved using Kalman filters (KF)
combined with closed-loop decoder adaptation (CLDA). CLDA fits the decoder parameters …

It has been debated whether kinematic features, such as the number of peaks or
decomposed submovements in a velocity profile, indicate the number of discrete motor …

Closed-loop decoder adaptation (CLDA) improves brain-machine interface performance by
estimating the decoder parameters in closed-loop operation. By allowing the subject to use …

When subjects are intentionally preparing a curved trajectory, they are engaged in a time-
consuming trajectory planning process that is separate from target selection. To investigate …