Decoder error cost differs for velocity versus click

In BCI decoding, how machine learning errors translate to user experience depends on the action: velocity output can be merely on-average correct because it is integrated over time with the user in the control loop steering toward the target, but a click is performed nearly instantaneously so its error has high cost, requiring much higher precision—meaning decoder design must assign cost to errors per action type.