alexa Brain Neurological Constructs: The Neuronal Computational Schemes for Resolution of Lifes complexities
ISSN: 2155-9562

Journal of Neurology & Neurophysiology
Open Access

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Research Article

Brain Neurological Constructs: The Neuronal Computational Schemes for Resolution of Lifes complexities

Jahan N Schad*

Retired Lawrence Berkeley National Laboratory, UCB, 376 Tharp Drive, Moraga, CA 94556, USA

*Corresponding Author:
Jahan N Schad
Retired LBNL (UCB) Scientist
376 Tharp Drive, Moraga
Ca 94556, USA
Tel: (925) 376-4126
E-mail: [email protected]

Received date: November 18, 2015 Accepted date: February 10, 2016 Published date: February 17, 2016

Citation: Schad JN (2016) Brain Neurological Constructs: The Neuronal Computational Schemes for Resolution of Life’s complexities. J Neurol Neurophysiol 7:356. doi:10.4172/2155-9562.1000356

Copyright: © 2016 Schad JN. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



For complex life to evolve, a sophisticated nervous system for handling its complexities was fundamental. The demand resulted in the emergence of brain’s computational facility, the neuronal network. This facet of the brain is attested solidly by its inspired scientific computational neural nets which (mathematically) resolve and solve many complex problems. The presumptive general semblance of the computational operation between the two systems allows for the inference that the process in brain's neural domain also renders complexities for solution, as sets of parametric equations, like the basic implicit algorithmic formalisms underlying the operations of the scientific neural nets. This parallel is based on the fact that such devices resolve complex problems for which no declarative logical formulation is deployed. The mathematically resolved neural net problem formalism also resembles that of many theoretically known and formulated complexities which are algorithmized, in their discretized solution domains, within the context of initial and boundary value problems for direct or iterative solution by computers. The brain neuronal net algorithmization of complexities delineate the governing Equations of life and living, solutions of which are achieved by trial-and error learning, deploying rest of the nervous system and other faculties of living beings. The computational operations of the brain delineate two mental states: consciousness and the unconscious; the aware and unaware states which describes the interactive living processes involved in charting life’s path.


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