It’s called predictive coding because you’re encoding the image as the vector r, which is typically much smaller than the image. The idea is that in the brain, U changes slowly, while r tracks changes in the retinal image.
It’s not the best method for machine learning, but some smart people claim this is our best bet for the algorithm actually used by the brain. So it is of interest for that reason alone. In addition, there’s a good chance that our current algorithms are not the best possible, so it behooves us to keep some “also ran” algorithms in mind. It’s happened several times in the history of AI that an apparently inferior algorithm has received a minor tweak and become a champion.
It’s called predictive coding because you’re encoding the image as the vector r, which is typically much smaller than the image. The idea is that in the brain, U changes slowly, while r tracks changes in the retinal image.
It’s not the best method for machine learning, but some smart people claim this is our best bet for the algorithm actually used by the brain. So it is of interest for that reason alone. In addition, there’s a good chance that our current algorithms are not the best possible, so it behooves us to keep some “also ran” algorithms in mind. It’s happened several times in the history of AI that an apparently inferior algorithm has received a minor tweak and become a champion.