My two cents: I'd think that it probably would be, if you could freeze its physical state and repeatedly apply it to single static images and measure it's respo

My two cents: I'd think that it probably would be, if you could freeze its physical state and repeatedly apply it to single static images and measure it's response and do gradient descend on that. But in reality the brain is stateful and noisy and works on a stream of images. Even if now and then, by sheer accident, for a short time, your brain might be mislead, it surely wouldn't go like "well I was pretty sure that was an X, but just now Y is scoring higher than X, so I'll just flip my opinion on that in an instant".