header
Image from OpenLibrary

Computer modeling of dendritic construction and connectivity of neural cells / Samar Ahmed Mahmoud Abbass ; Supervised Amr A. R. Sharawi , Medhat A. Elmessiery

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Samar Ahmed Mahmoud Abbass , 2019Description: 76 P. : charts , facsimies ; 25cmOther title:
  • النمذجة المحسبة للبناء و الاتصال الطرفي للخلايا العصبية [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2019.Sa.C (Browse shelf(Opens below)) Not for loan 01010110079844000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2019.Sa.C (Browse shelf(Opens below)) 79844.CD Not for loan 01020110079844000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

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

Issued also as CD

There are no comments on this title.

to post a comment.