A bridge technique for memristor state programming-Reference-Cited by-同舟云学术

A bridge technique for memristor state programming

Published:2019-11-28 Issue:6 Volume:107 Page:1015-1030
ISSN:0020-7217
Container-title:International Journal of Electronics
language:en
Short-container-title:International Journal of Electronics

Author:

Tarkhan Mahdi¹^ORCID,Maymandi-Nejad Mohammad¹,Haghzad Klidbary Sajad²,Bagheri Shouraki Saeed³

Affiliation:

1. Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

2. Department of Electrical and Computer Engineering, Faculty of Engineering, University of Zanjan, 45371-38791 Zanjan, Iran

3. Research Group for Brain Simulation and Cognitive Science, Artificial Creatures Laboratory (ACL), Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207217.2019.1692371

Reference33 articles.

1. Memristor Bridge Synapse-Based Neural Network and Its Learning

2. High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

3. Two-memristor-based Chua’s hyperchaotic circuit with plane equilibrium and its extreme multistability

4. Coexisting multiple firing patterns in two adjacent neurons coupled by memristive electromagnetic induction

5. Initial condition-dependent dynamics and transient period in memristor-based hypogenetic jerk system with four line equilibria

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hardware architecture and memristor-crossbar implementation of type-2 fuzzy system with type reduction and in-situ training;The Journal of Supercomputing;2024-07-02

2. A novel programming circuit for memristors;Microelectronic Engineering;2023-08

3. Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2022-08

4. Memristor Crossbar-Based Hardware Implementation of Type-2 Fuzzy Membership Function and On-Chip Learning;International Journal of Engineering;2021-09

5. Sneak Path Characterization in Memristor Crossbar Circuits;International Journal of Electronics;2020-11-22