Abstract
The practical realization of neuro-memristive systems requires highly accurate simulation models, robust devices and validations on device characteristics. This chapter covers the basics of memristor characteristics, models and a succinct review of practically realized memristive devices. Memristors represent a class of two terminal resistive switching multi-state memory devices that can be compatible with existing integrated circuit technologies. The modeling of memristors for very large scale simulations requires to accurately capture process variations and other non-idealities from real devices for ensuring the validity of deep neural network architecture designs with memristors.
Original language | English (US) |
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Title of host publication | Modeling and Optimization in Science and Technologies |
Publisher | Springer [email protected] |
Pages | 13-40 |
Number of pages | 28 |
DOIs | |
State | Published - Jan 1 2020 |
Externally published | Yes |
Bibliographical note
Generated from Scopus record by KAUST IRTS on 2023-09-23ASJC Scopus subject areas
- Modeling and Simulation
- Medical Assisting and Transcription
- Applied Mathematics