[pakl]

You are making a lot of incorrect statements about brains and vision. I would advise you to study some visual neuroscience.

> Learning multilayer convolutional representations of statistical features is roughly equal to taking few first few layers in visual cortex and stacking them.

No, it isn't roughly equal the first few layers of visual cortex. The first few layers of visual cortex have substantial feedback connectivity from higher areas which affects the responses of even the most peripheral parts. (Citations in our arxiv preprint linked above.). Most of the brain has more feedback connectivity from elsewhere than feedforward ascending connectivity. This qualitatively affects activations.

>We are essentially building a frog...

I suspect frog vision is far more robust than anything we are "essentially building".

> Features seem to exist independently...

Please have a close look at some modern visual neuroscience. Or speak to an good honest electrophysiologist.

[sgt101]

Which citations are you referring to? I would be grateful if you could please be specific.