A Review On Different Memristor Modeling And Applications
Author:
Affiliation:
1. Vignan university,Dept of Ece,Guntur
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751778/9751732/09752214.pdf?arnumber=9752214
Reference44 articles.
1. Optimal Tuning of Memristor Conductance Variation in Spiking Neural Networks for Online Unsupervised Learning
2. Learning in Memristor Crossbar-Based Spiking Neural Networks Through Modulation of Weight-Dependent Spike-Timing-Dependent Plasticity
3. The missing memristor found
4. Models of memristors for SPICE simulations
5. Modeling of Mean Barrier Height Levying Various Image Forces of Metal–Insulator–Metal Structure to Enhance the Performance of Conductive Filament Based Memristor Model
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3. Novel logic and memory synthesis algorithm for Memristive Hardware Description Language (HDL);Integration;2024-05
4. Examination of Resistive Switching Energy of Some Nonlinear Dopant Drift Memristor Models;Informacije MIDEM - Journal of Microelectronics, Electronic Components and Materials;2024-03-03
5. A Microcontroller-Controlled Optocoupler-Based Memristor Emulator and Its Usage in a Low-Pass Filter;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2024-01-25
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