Current Issue

2023: Volume 5, Issue 1

Alzheimer? But You Look For Answers under a Wrong Lamp Post

Emanuel Diamant*

Independent Researcher, Israel

*Corresponding Author: Emanuel Diamant, Independent Researcher, Israel; Email: [email protected]

Received Date: July 16, 2023

Publication Date: August 23, 2023

Citation: Diamant E. (2023). Alzheimer? But You Look For Answers under a Wrong Lamp Post. Neuro Research. 5(1):17.

Citation: Diamant E. © (2023).


Alzheimer's disease (AD) is a dangerous degenerative disease affecting the central nervous system of people over 65 years of age. Today there are 55 million people in the world disturbed by AD. It is expected that by 2030 there will be 78 million, and by 2050 139 million. Due to the high frequency and severity of the disease, AD is becoming a significant medical and socio-economic problem of the modern world. Huge financial resources are allocated by the budgets of different countries to solve the problems that accompany the rapid spread of AD. Since the causes of rise and spread of AD are unknown, an important role is given to scientific research on the mechanisms and ways of AD commence and development.

I am not a doctor, not a microbiologist, not an AD researcher. I am an engineer who once was engaged in problems of Computer Vision, Robotics and Artificial Intelligence. In this way, I was connected with problems of human brain functioning. That explains my current interest in AD problems. Reviewing the literature, that is now available to me, about the mechanisms of AD onset and development, I was extremely surprised that among the variety of mechanisms that are currently studied in the United States (and around the world), informational mechanisms, mechanisms for exchange and processing information in the brain’s neural networks are not considered at all, and even are not mentioned (in these studies). But the human brain, first of all, is a provision for information accumulating and processing! How can such a thing be neglected? In the note below, I try to explain the possible usage of informational models in AD problems and challenges.

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