  Intelligence is often discussed in terms of neural networks in the cerebral
cortex, whose evolution has presumably been influenced by Darwinian selection.
Here we present molecular evidence that one of the many kinesin motors, Kif14,
has evolved to exhibit special features in its amino acid sequence that could
have evolved to improve neural networks. The improvement is quantified by
comparison of Kif14 sequences for 12 species. The special feature is level sets
of hydrophobic extrema in water wave profiles based on several hydropathic
scales. The most effective scale is a new one based on fractals, indicative of
approach of globular curvatures to self-organized criticality.
