Neuromotor recovery from stroke: computational models at central, functional, and muscle synergy level

It has finally dawned on someone that they know crap about how stroke recovery occurs. We have been guinea pigs for the last 50 years except that our doctors don't even have enough sense to monitor our recoveries. So we've been guinea pigs for nothing.
http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2013.00097/full?

Maura Casadio, Irene Tamagnone, Susanna Summa and Vittorio Sanguineti*

• Department of Informatics, Bioengineering, Robotics and Systems Engineering, Neuroengineering and Neurorobotics Lab (NeuroLAB), University of Genoa, Genoa, Italy

Computational models of neuromotor recovery after a stroke might help to unveil the underlying physiological mechanisms and might suggest how to make recovery faster and more effective. At least in principle, these models could serve: (i) To provide testable hypotheses on the nature of recovery; (ii) To predict the recovery of individual patients; (iii) To design patient-specific “optimal” therapy, by setting the treatment variables for maximizing the amount of recovery or for achieving a better generalization of the learned abilities across different tasks. Here we review the state of the art of computational models for neuromotor recovery through exercise, and their implications for treatment. We show that to properly account for the computational mechanisms of neuromotor recovery, multiple levels of description need to be taken into account. The review specifically covers models of recovery at central, functional and muscle synergy level.