Brain Prostheses as a Dynamic System (Immortalizing the Human Brain?)
Vadim Astakhov, Tamara Astakhova

TL;DR
This paper introduces a Dynamic Core model for analyzing and designing artificial brain tissues and prostheses, focusing on system complexity, functional migration, and environmental adaptation using advanced mathematical formalisms.
Contribution
It develops a novel Dynamic Core framework and delocalization approach to model neural system complexity and migration of functions in artificial brain tissues.
Findings
Statistical constraints for preserving Dynamic Core during environment changes
A holographic model for self-poetic Dynamic Core in artificial tissues
Recommendations for nanotech and tissue engineering based on system constraints
Abstract
Interest in development of brain prostheses, which might be proposed to recover mental functions lost due to neuron-degenerative disease or trauma, requires new methods in molecular engineering and nanotechnology to build artificial brain tissues. We develop a Dynamic Core model to analyze complexity of damaged biological neural network as well as transition and recovery of the system functionality due to changes in the system environment. We provide a method to model complexity of physical systems which might be proposed as an artificial tissue or prosthesis. Delocalization of Dynamic Core model is developed to analyze migration of mental functions in dynamic bio-systems which undergo architecture transition induced by trauma. Term Dynamic Core is used to define a set of causally related functions and Delocalization is used to describe the process of migration. Information geometry and…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Neural dynamics and brain function · Quantum Mechanics and Applications
