Darwinian Evolution of Intelligence

被引:1
|
作者
Phillips, J. C. [1 ]
机构
[1] Rutgers State Univ, Dept Phys & Astron, New Brunswick, NJ 08901 USA
来源
关键词
neural network; amino acid sequence; thermodynamic and phase properties; natural selection 3; sliding window; MECHANICS;
D O I
10.3389/fbinf.2022.838420
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 a special feature in its amino acid sequence that could improve neural networks. The improvement is quantified by comparison of NIF14 sequences for 12 species. The special feature is level sets of synchronized 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, which summarizes evolutionary trends based on intelligent design.
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页数:5
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