Transactions on Neural Systems and Rehabilitation Engineering

Featured Articles
Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces
Abstract Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from the environment through interactions to complete the task without desired signals, which is promising for clinical applications. Previous studies exploited Q-learning techniques to discriminate neural states into simple directional actions providing the... Read more
Featured Articles
Cross-Comparison of Three Electromyogram Decomposition Algorithms Assessed With Experimental and Simulated Data
Abstract The reliability of clinical and scientific information provided by algorithms that automatically decompose the electromyogram (EMG) depends on the algorithms’ accuracies. We used experimental and simulated data to assess the agreement and accuracy of three publicly available decomposition algorithms—EMGlab (McGill... Read more