Decoder offline metrics don't equal online performance

Building a BCI decoder is fundamentally a control problem, not a standard supervised learning problem, because offline validation metrics like validation loss do not necessarily correspond to online control performance—multiple models can achieve the same validation loss yet differ greatly in controllability—so auxiliary loss terms and nuanced label construction matter more than raw loss minimization.