Human motor cortex encodes complex handwriting through a sequence of stable neural states
Nat Hum Behav | The human motor cortex encodes complex handwriting by transitioning through neural states, each with distinct directional tuning, enabling accurate reconstruction of written characters.
Apr 2, 2025
Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals
eLife | A framework is proposed to separate and analyze behaviorally relevant neural signals, revealing that previously overlooked neural responses encode rich information and suggesting that motor behaviors occupy a higher-dimensional space than expected and can be decoded linearly.
Aug 9, 2024
Dynamic ensemble bayesian filter for robust control of a human brain-machine interface
IEEE Trans on Biomedical Engineering | A dynamic ensemble Bayesian filter (DyEnsemble) is proposed to improve the robustness of online brain-machine interface (BMI) control by adaptively combining multiple neural decoding models to handle neural signal variability, showing significantly better accuracy and stability than conventional methods.
Jun 13, 2022