Alzheimer’s Disease as an Example of Desynchronization of Functioning and a Set of Neurocognitive Patterns Constituting a Potential Source of Resources for the Development of Artificial Intelligence

Abstract

The review article focuses on the potential development of Artificial Intelligence by extracting fixed patterns and regularities that enable the improvement and refinement of advanced analyses in the field of artificial neural network learning. Is conducted through the prism of the neurocognitive view of Alzheimer's disease as a potential set of neurocognitive patterns constituting a potential source of resources for the development of artificial intelligence. It is closely related to encephalography, both used to detect pathological dementia changes, and the analysis of brain activity itself, showing the existence of repeated regularities. These patterns, analogic in the astrophysical Lagrandrean mapping analysis of the galaxy, seem to have the potential to develop Artificial Intelligence. Especially, following the idea of ​​perceiving Alzheimer's disease as a global functional desynchronisation, global neurodegenerative changes may provide potential resources that, through mathematical and algebraic transformations, to serve as a foundation for the development of Artificial Intelligence.

Keywords

• alzheimer's disease
• eeg
• artificial intelligence
• deep learning
• brain waves