Computational models and motor learning paradigms: Could they provide insights for neuroplasticity after stroke? An overview.

Computational approaches for modelling the central nervous system (CNS) aim to develop theories on processes occurring in the brain that allow the transformation of all information needed for the execution of motor acts. Computational models have been proposed in several fields, to interpret not only the CNS functioning, but also its efferent behaviour… CONTINUE READING