![]() A novel principal component analysis-based domain adaptation (PDA) method was proposed to recalibrate the decoder with only ultra small current sample set by taking advantage of large historical data, and the decoding performance was compared with other three calibration methods for evaluation. Neural signals were recorded to decode reaching positions or grasping postures. Two rhesus macaques implanted with intracortical microelectrode arrays were trained separately on movement and sensory paradigm. The aim in this study is to develop an effective decoder calibration method that can achieve good performance while minimizing recalibration time. However, frequent recalibration is required for consistency and reliability, and every recalibration will require relatively large most current sample set. ![]() Intracortical brain-machine interfaces (iBMIs) aim to restore efficient communication and movement ability for paralyzed patients. ![]() ![]() Zhang, Peng Ma, Xuan Chen, Luyao Zhou, Jin Wang, Changyong Li, Wei He, Jiping Decoder calibration with ultra small current sample set for intracortical brain-machine interface ![]()
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