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The sequence of neural and physiological processes underlying action-stopping has been delineated.

The explanation of why older people show increased behavioral variability despite having decreased neural signal variability lies in the link between the dynamics of the ongoing neural signal and the trial-by-trial variability of neural evoked responses.

When behavioral outcomes are unfavorable, the brain searches for better outcomes by deliberately increasing its internal variability.

The excessive behavioral variability associated with adolescence is the result of greater instability of widespread or global gain signals which produces greater variability in the amplitude of expression of whole-brain states of task-related activity.

A match between neuronal variability and tuning enables optimized coding of natural self-motion in early vestibular pathways.

The distribution of redundant neural activity is coupled with task-relevant activity, which may limit the extent to which redundancy can be exploited by the brain for computation.

Human infants can use various muscle activations as soon as birth to produce rhythmic leg movements, but the strategy underlying this variable output seems to change between the first months of life and toddlerhood.

Recurrent interactions in the optic tectum underlie activity-dependent changes in network state that account for variability in sensory encoding and behavior.

Animals rely on sensory feedback rather than the precise tuning in the nervous system to achieve robust behavioral performances.

Electrophysiological recordings in awake behaving monkeys show the first evidence of the effect of continuous theta-burst stimulation, a widely used repetitive transcranial magnetic stimulation protocol, at the level of single neurons.