Brain Neurological Constructs: The Neuronal Computational Schemes for Resolution of Life's Complexities
Jahan N. Schad

TL;DR
This paper explores the brain's neuronal networks as computational systems that solve complex problems, drawing parallels with scientific neural nets and mathematical formalism to understand life's complexities.
Contribution
It proposes a theoretical framework linking brain neural operations with mathematical problem-solving formalism, highlighting the computational nature of consciousness and unconsciousness.
Findings
Neuronal networks function as computational problem solvers.
Brain's computational schemes resemble mathematical formalism of neural nets.
Conscious and unconscious states are linked to different computational processes.
Abstract
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…
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