Fig 4. Comparison of the two decoding conditions for subject 2, SNR-case 3.

The top plot depicts single trial data with a motor-imitation initialized decoder. The cursor moves more smoothly (i.e. oversmoothed) and it is difficult to reach extremally-located targets. This smoothness is reflected in a slow falloff for the autocorrelation function (ACF) of the cursor position. The bottom plot depicts a matched trial with a pre-computed decoder. The user’s better control derives from a decoder with comparable local smoothness, but more responsiveness. Empirically the ACF has correspondingly sharper falloff.