Similar trial-by-trial adaptation behavior across transhumeral amputees and able-bodied subjects

EMG control of powered upper limb prostheses is difficult and imprecise. One approach for improving control is to help amputees develop more accurate internal models of their prosthetic device. This may be facilitated by an intuitive mapping of neural signals to device movement, a way of providing sensory feedback, or training methods. A first step, arguably, is to understand how an amputation affects adaptation. Here we studied trial-by-trial...