Infant rats distinguish between self- and other-generated movements, and they do so primarily when moving during active sleep.

Individual granule cells within the cerebellum-the region of the brain that coordinates movement and supports the learning of new motor skills-receive both sensory and motor input streams: an arrangement that may help the brain to use feedback to fine-tune movement.

Visual, motor, and forward model gains learn from a postdictive update of space to keep perception and saccadic motor function aligned.

In vivo recordings and computational modeling of the electrosensory lobe of mormyrid fish provide a circuit-level description of how learning generalizes to new situations.

A neural gating mechanism in the external cuneate nucleus of the rat brain is engaged during wake movements and disengaged during sleep-related twitches.

Neurons in the macaque posterior parietal cortex behave like an error detector that computes the saccadic error by comparing the intended and the actual saccade end-position signals.

Electric fish are able to take what they have learnt about sensory processing in certain situations and apply it in other situations.

Prediction of future input explains diverse neural tuning properties in sensory cortex.

The brain continues to represent individual fingers in primary somatosensory cortex decades after the amputation of a hand, indicating that cortical maps do not require ongoing sensory input from the body.