Topic: Touch-guided corrections

Successful actions require correcting for movement errors in real-time. When grasping an object, unexpected touches at the hand evoke rapid adjustments in grip. Touch-guided corrections require proprioceptive and mechanosensory feedback to be integrated with ongoing motor commands and transformed into an updated plan. To determine how touch events guide ongoing movements, we combined kilohertz frame-rate imaging and a deep neural network to track lingual kinematics in 3D as head-fixed mice retrieved water from a moving spout. We detected the offset of tongue-spout contact on the first lick (L1