Tejapratap Bollu

The paper shows that cervical spinal cord neurons use muscle and tendon afferents to create a low-dimensional neural code representing forelimb movement state.

The paper uses high-speed imaging and deep learning to analyze mouse tongue movements during licking, revealing cortex-dependent corrective submovements after missed targets.

The paper shows that inactivating motor cortex in mice reduces the speed of kinematic primitives during a reach task without affecting their direction or complexity.