Handbook of the Cerebellum and Cerebellar Disorders pp 1381-1423 | Cite as
Recursive Genome Function of the Cerebellum: Geometric Unification of Neuroscience and Genomics
Abstract
Recursive Fractal Genome Function in the geometric mind frame of Tensor Network Theory (TNT) leads through FractoGene to a mathematical unification of physiological and pathological development of neural structure and function as governed by the genome. The cerebellum serves as the best platform for unification of neuroscience and genomics. The matrix of massively parallel neural nets of fractal Purkinje brain cells explains the sensorimotor, multidimensional non-Euclidean coordination by the cerebellum acting as a space-time metric tensor. In TNT, the recursion of covariant sensory vectors into contravariant motor executions converges into Eigenstates composing the cerebellar metric as a Moore-Penrose Pseudo-Inverse.
The Principle of Recursion is generalized to genomic systems with the realization that the assembly of proteins from nucleic acids as governed by regulation of coding RNA (cRNA) is a contravariant multicomponent functor, where in turn the quantum states of resulting protein structures both in intergenic and intronic sequences are measured in a covariant manner by noncoding RNA (ncRNA) arising as a result of proteins binding with ncDNA modulated by transcription factors. Thus, cRNA and ncRNA vectors by their interference constitute a genomic metric, the RNA system serving as a Genomic Cerebellum. Recursion through massively parallel neural network and genomic systems raises the question if it obeys the Weyl’s Law of Fractal Quantum Eigenstates, or when derailed, pathologically results in aberrant methylation or chromatin modulation, the root cause of cancerous growth. The growth of fractal Purkinje neurons of the cerebellum is governed by the aperiodical discrete quantum system of sequences of DNA bases, codons, and motifs. The full genome is fractal; the discrete quantum system of pyknon-like elements follows the Zipf-Mandelbrot Parabolic Fractal Distribution curve.
The Fractal Approach to Recursive Iteration has been used to identify fractal defects causing a cerebellar disease, the Friedreich Spinocerebellar Ataxia – in this case as runs disrupting a fractal regulatory sequence. Massive deployment starts by an open domain collaborative definition of a standard for fractal genome dimension in the embedding spaces of the genome-epigenome-methylome to optimally diagnose cancerous hologenome in the nucleotide, codon, or motif-hyperspaces. Recursion is parallelized both by open domain algorithms, and also by proprietary FractoGene algorithms on high performance computing platforms, for genome analytics on accelerated private hybrid clouds with PDA personal interfaces, becoming the mainstay of clinical genomic measures prior and post-cancer intervention in hospitals and serve consumers at large as Personal Genome Assistants.
Keywords
Fractal Dimension Purkinje Neuron Private Cloud Golden Ratio Mycoplasma GenitaliumNotes
Acknowledgments
Upon presentation, an advice was received from Dr. Hamilton O’ Smith (Venter Institute), to run the Zipf-Mandelbrot Fractal Parabolic Distribution Curve-test, as a control, with an identical number of A, C, T, and G-s, randomly generated. Not only the control-result did not show the Curve, but generated zero repetition for the identical overall length and motif-requirements (there were no points to compose any curve). The creative suggestion is gratefully acknowledged. The authors thank Paul Shapshak Ph.D., Division of Infectious Disease and International Medicine and Dept. of Psychiatry and Behavioral Medicine, University of South Florida College of Medicine, Tampa, Florida, to help prepare the manuscript and to Prof. Sergey Petoukhov, Academician, Moscow, for reference to Gazalé and appreciative comments of the chapter on dual valence, the RNA system serving as a Genomic Cerebellum.
One of us (AJP) also gratefully acknowledges Prof. E.G. Rajan for awarding this work by the “Distinguished Scientist” honor for the presentation of the concepts at the ICSCI 2012 International Conference on Systemics, Cybernetics and Informatics, Hyderabad, India.
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