Simplified neuron model with memristive ionic channels / Almoataz-Bellah Mohamed Alsayed Hegab ; Supervised Noha Mohamed Salem , Ahmed Gomaa Radwan
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TextLanguage: English Publication details: Cairo : Almoataz-Bellah Mohamed Alsayed Hegab , 2014Description: 71 P. : charts , plans ; 30cmOther title: - نموذج مبسط للخلية العصبية باستخدام مقاوم ذى ذاكرة لتمثيل المسارات الأيونية [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.10.M.Sc.2014.Al.S (Browse shelf(Opens below)) | Not for loan | 01010110066377000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.10.M.Sc.2014.Al.S (Browse shelf(Opens below)) | 66377.CD | Not for loan | 01020110066377000 |
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| Cai01.13.10.M.Sc.2014.Ah.O Optimal design of computationally expensive engineering systems using normed distance and surrogate models / | Cai01.13.10.M.Sc.2014.Ah.O Optimal design of computationally expensive engineering systems using normed distance and surrogate models / | Cai01.13.10.M.Sc.2014.Al.S Simplified neuron model with memristive ionic channels / | Cai01.13.10.M.Sc.2014.Al.S Simplified neuron model with memristive ionic channels / | Cai01.13.10.M.Sc.2014.Do.T Transmission line model of the vocal tract with side branching for Arabic / | Cai01.13.10.M.Sc.2014.Do.T Transmission line model of the vocal tract with side branching for Arabic / | Cai01.13.10.M.Sc.2014.Ma.O Optimal design of photonic crystal structures / |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics
First of all, we have introduced a simplified neuron model, however it produces an action potential that follows the original Hodgkin and Huxley model. The genetic optimization algorithm has been used in order to enhance the modulating parameters of the proposed model. The ion channel equations in the simplified neuron model have been generalized to represent a simplified memristor model that could approximate different experimental results of memristive devices. This approach could be considered as a step forward in the creation of a nano-scale memristor based neural network
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