Before revision:  In this paper, we demonstrate that a neural decoder trained on neural activity signals of one subject can be used torobustly decode the motor intentions of a different subject with high reliability. This is achieved in spite of the non-stationary nature of neural activity signals and the subject-specific variations of the recording conditions .
After revision:  In this paper, we demonstrate that a neural decoder trained on neural activity signals of one subject can be used torobustly decode the motor intentions of a different subject (source). Approach. We cast the problem of neural activity signals and the subject-specific variations of the recording conditions .