Is this speculation true?

The spatial information in a scene is thought to be processed within a ‘multi-resolution’ framework where the cells in the visual cortex are grouped into so-called ‘channels’ according to the spatial frequency they detect. The way these ‘channels’ are distributed in spatial frequency parallels the scaling relationship of the fractal patterns in the observed scenery [1]. It has been speculated that this is not coincidental but the consequence of the visual system’s adaptation to the fractal character of the natural environment during evolution — in order to be efficient “the human visual system should be tuned to the ensemble of images that it sees”

From "Chaos, Fractals, Nature: a New look at Jackson Pollock" (Richard P. Taylor, 2006, Fractals Research, Eugene OR):

Watch me become: 'The Human Search Engine' 
You see spirals, if you drop  acid

Otherwise... Look at the Fibonacci sequence, 0,1,1,2,3,5,8,13,21...
The property is that the next in the sequence can be formed from the previous two. This gets the brain a simple method to compare past and future, when two bounded functions are operating, the next bound up can be compared to the previous two bounded functions. This simple system can tell us whether we should complete one more task in the day, or call it quits.

The brain could maintain two fib counters, up to a point since it can multiply spike trains by building up electro potential in a neuron, so one gets an analog multiply function. So, I am searching for neuronal packs that generate simply polynomials, where Y is the spike frequency, and X the basic rate. I would think these generators would be quite fundamental to getting about in the world.