Why can the decoder that fits recorded data best lose once someone drives it? · Grey Matter

Because the user sees the cursor and corrects it.

Why can the decoder that fits recorded data best lose once someone drives it?

Because the user sees the cursor and corrects it. Offline, a decoder is scored on how well it reconstructs movements from activity that was recorded with no cursor to steer; in use, the person compensates for its errors as they happen. When nine decoders were compared in monkeys, the assumption that weighed most offline, about how the neurons' preferred directions are spread, produced directional biases the animals simply corrected for, and how the decoder smoothed the cursor became the largest difference. ReFIT drew the lesson from the other side: it was retrained on closed-loop data and halved the time to reach targets.