A computational model shows that preparation arises as an optimal control strategy in input-driven recurrent neural networks performing a delayed-reaching task.

The evidence of subspace computation in the lateral prefrontal cortex provides insights into the neural mechanisms underlying cognitive flexibility and interference between different cognitive processes.

The use of preparatory activity in the smooth eye movement region of the frontal eye fields as a visual-motor gain signal allows preparation to progress without inappropriate movement.

A recurrent neural network model with parameters constrained by data explains mechanisms for how tuning properties of motor cortical neurons change during movement preparation and execution in a monkey performing a reaching task, and accurately reproduces neural dynamics from recordings.

I-Spin enables researchers to decode motor unit firings from surface and intramuscular electromyographic signals in real time.

Voluntary movements are preceded by a temporally flexible preparatory neural process that is present regardless of whether movement is initiated rapidly or thoughtfully.

Neurophysiological signatures of motor preparation reveal countervailing value biasing mechanisms that evolve across consecutive phases of anticipation, detection, and discrimination in sensorimotor decision making.

Building on previous work (Lasagna-Reeves et al., 2015) it is shown that polyglutamine ATXN1 oligomers propagate locally in SCA1 mice, and that passive immunotherapy targeting soluble oligomers can lead to an improvement in motor coordination and a modest increase in life span.

An atypical neuronal pacemaker mechanism triggers feeding motor pattern in Aplysia..

The observed activity of the motor cortex in space and time is reproduced by a model with a specific structure of the inputs to the motor cortex.