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Hidden Brain State-Based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-Machine Interfaces

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Neural Manifold Constraint for Spike Prediction Models under Behavioral Reinforcement

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Audio-induced medial prefrontal cortical dynamics enhances coadaptive learning in brain-machine interfaces

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Applying Neural Manifold Constraint on Point Process Model for Neural Spike Prediction

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State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces

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Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning

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