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Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity

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Machine learning for neural decoding

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Learning by neural reassociation

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Inferring single-trial neural population dynamics using sequential auto-encoders

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Motor primitives in space and time via targeted gain modulation in cortical networks

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Emergence of Coordinated Neural Dynamics Underlies Neuroprosthetic Learning and Skillful Control

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The soft mechanical signature of glial scars in the central nervous system

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A cryptography-based approach for movement decoding

(2017) Eva L. Dyer et al.   Nature Biomedical Engineering

Making brain–machine interfaces robust to future neural variability

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Brain Tissue Responses to Neural Implants Impact Signal Sensitivity and Intervention Strategies

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Performance sustaining intracortical neural prostheses

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Neural constraints on learning

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Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

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Unscented Kalman Filter for Brain-Machine Interfaces

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Observation-based learning for brain–machine interfaces

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Cortical control of a prosthetic arm for self-feeding

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