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العنوان
Computer modeling of dendritic construction and connectivity of neural cells /
الناشر
Samar Ahmed Mahmoud Abbass ,
المؤلف
Samar Ahmed Mahmoud Abbass
هيئة الاعداد
باحث / Samar Ahmed Mahmoud Abbass
مشرف / Amr A. R. Sharawi
مشرف / Medhat A. Elmessiery
مشرف / Noha Mohamed Salem
مناقش / Samir Y. M. Marzouk
تاريخ النشر
2019
عدد الصفحات
76 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الطبية الحيوية
الناشر
Samar Ahmed Mahmoud Abbass ,
تاريخ الإجازة
9/11/2019
مكان الإجازة
جامعة القاهرة - كلية الهندسة - Biomedical Engineering and Systems
الفهرس
Only 14 pages are availabe for public view

from 99

from 99

Abstract

A computational stochastic model that describes the growth of neuronal dendrites in a single nerve cell and within neural network; the model supplies the ability to study different growth factors like randomized growth, position of stimulus directing dendrites and boarders of spanning dendritic tree, as well as a full understanding of network connectivity. Quantitative metrics are calculated to verify the model outputs to realistic constructions like dimensional and electrical metrics. The outputs show that the model is considered to be reliable for discipline types of nerve cells