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Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces

Author(s): Yiwen Wang, Fang Wang, Kai Xu, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng
Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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…

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Cross-Comparison of Three Electromyogram Decomposition Algorithms Assessed With Experimental and Simulated Data

Author(s): Chenyun Dai, Yejin Li, Anita Christie, Paolo Bonato, Kevin C. McGill, Edward A. Clancy
Cross-Comparison of Three Electromyogram Decomposition Algorithms Assessed With Experimental and Simulated Data 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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…

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