This project provides Matlab code and experimental walking data for generating dynamically consistent full-body walking predictions for a high functioning stroke subject. The predictions are generated using a patient-specific full-body OpenSim/Matlab neuromusculoskeletal model and the direct collocation optimal control software GPOPS-II, which functions within the Matlab programming environment. The neuromusculoskeletal model is calibrated to the subject's walking data collected at his self-selected speed of 0.5 m/s to produce a patient-specific lower-body kinematic model, patient-specific foot-ground contact models, patient-specific EMG-driven muscle models, and patient-specific neural control models based on the subject's muscle synergy structure. The calibrated model is used to predict how the subject will walk at 0.5 and 0.8 m/s using either joint torque controls (5 per leg), muscle activation controls (35 per leg), or muscle synergy controls (5 per leg) applied to the lower body joints. For now, this project is a placeholder pending acceptance of the associated journal manuscript by Frontiers in Bioengineering and Biotechnology.