Stroke contributes significantly to the incidence of disabilities, with upper limb (UL) motor impairment being especially prevalent. Animal studies suggest that post-stroke motor recovery is largely attributable to adaptive plasticity in brain motor areas. While some environmental training factors contributing to plastic mechanisms have been identified in animals, translation of this knowledge to the clinical setting is insufficient. Optimal recovery may be related to both external (e.g., feedback type) and internal factors (e.g., cognitive ability, motivation). Clinically feasible methods for training are needed. Use of enriched virtual environments (VEs) may provide a way to address these needs. Outcome measures that best reflect recovery need to be identified since this is an essential step to evaluate the effect of novel training programs for UL motor recovery in stroke.