Open AccessTHE ALZHEIMER’S DISEASE IMPACT ON ARTIFICIAL NEURAL NETWORKS
Author(s) -
Maksims Žigunovs
Publication year - 2021
Publication title -
vide. tehnoloģija. resursi/environment. technology. resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.113
H-Index - 8
eISSN - 2256-070X
pISSN - 1691-5402
DOI - 10.17770/etr2021vol2.6632
Subject(s) - artificial neural network , neuron , signal (programming language) , computer science , biological neuron model , neuroscience , biological neural network , artificial intelligence , psychology , machine learning , programming language
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.