Transactions on Neural Systems and Rehabilitation Engineering

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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