Modular decomposition in visuomotor learning

Article Abstract:

The brain may use a modular decomposition strategy to learn the visuomotor map or the relationship between visual inputs and motor outputs. A study was conducted to explore such possibility wherein subjects were exposed to opposite prism-like visuomotor remappings for movements starting from two distinct locations. Notwithstanding the conflicting pairing between visual and motor space, subjects learned the two visuomotor mappings dependent on the starting points, exhibiting an interpolation of the two learned maps.

Physiological aspects, Learning, Perceptual-motor learning, Decomposition method

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Signal-dependent noise determines motor planning

Article Abstract:

The trajectory through which an arm moves towards a goal is the result of coordination between arm and eye movements. New research shows that, while there are many possible trajectories that could be taken to reach the target, the presence of signal-dependent noise corrupts the neural control signals which determine the movement duration and terminal accuracy.

Motor ability, Motor skills, Movement (Physiology), Human mechanics, Eye-hand coordination

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Bayesian integration in sensorimotor learning

Article Abstract:

According to Bayesian theory, an optimal estimate results from combining information about the distribution of velocities with evidence from sensory feedback. To use a Bayesian strategy, it is necessary for the brain to represent the prior distribution and the level of uncertainty in the sensory feedback.

United States, Science & research, Bayesian statistical decision theory, Bayesian analysis, Perceptual-motor processes

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