Decoding the Non-Stationary Neuron Spike Trains by Dual Monte Carlo Point Process Estimation in Motor Brain Machine Interfaces.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society（2014）
Key words
Monte Carlo methods,brain-computer interfaces,decoding,filtering theory,medical signal processing,neurophysiology,parameter estimation,BMI data,Monte Carlo point process filtering method,adaptive method,brain machine interfaces decoder,decoding algorithm,decoding performance,dual Monte Carlo point process estimation,dynamic tuning parameters estimation,motor brain machine interfaces,motor learning,movement parameters,neural firings,neural plasticity,neural signals,nonstationary neuron spike trains,nonstationary neuron tuning,static tuning parameters,time-varying neuron tuning property
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