the other guys in them in the code layer and then the predictors try to minimize the error just like the feature detectors the code units try to maximize it trying to become as unpredictable as possible now this is closely related to coming up with this reference noise vector that you just mentioned because of course then in the in the code layer you basically get in the ideal case a factorial code where each of these units is statistically independent of each other of the other units but still tells you a lot about the image so you still