The Alzheimer’s Disease Impact on Artificial Neural Networks

Abstract

The Alzheimer’s Disease main impact on the brain is the memory loss effect. Therefore, in the “neuron world” this makes a disorder of signal impulses and disconnects neurons that causes the neuron death and memory loss. The research main aim is to determine the average loss of signal and develop memory loss prediction models for artificial neuron network. The Izhikevich neural networking model is often used for constructing neuron neural electrical signal modeling. The neuron model signal rhythm and spikes are used as model neuron characteristics for understanding if the system is stable at certain moment and in time. In addition, the electrical signal parameters are used in similar way as they are used in a biological brain. During the research the neural network initial conditions are assumed to be randomly selected in specified the working neuron average sigma I parameters range.

A Study on the Correlation Between Age-Related Macular Degeneration and Alzheimer's Disease Based on the Application of Artificial Neural Network

“…The decrease of Aβ level in retinal pigment epithelial deposits and the preservation of retinal pigment epithelial structure were related to anti-q antibody immunotherapy and visual protection. These observations are consistent with the decrease of amyloid and the improvement of cognitive function in AD mice treated with anti-Aβ antibody (21).…”

Comparative Analysis of Models of Gene and Neural Networks

“…An artificial neural network (ANN in short) is a mathematical model created in the likeness of biological neural networks [8]. Similar to a natural analog, an artificial neural network consists of neurons and synapses [9]. Neural networks are used to solve many problems: recognition and generation of images (face identification in video surveillance systems); speech and language (language for chat-bots and service robots); weather prediction; medical diagnosis [9][10]; business fields [11][12]; traffic monitoring systems [13].…”