An Absorbing Markov Chain Model for Stochastic Memristive Devices
Author:
Affiliation:
1. Imperial College London,Department of Electrical and Electronic Engineering,London,Britain,SW7 2AZ
2. University of Southampton,Centre for Electronics Frontiers,Southampton,UK,SO17 1BJ
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837335/9837476/09837672.pdf?arnumber=9837672
Reference6 articles.
1. A Data-Driven Verilog-A ReRAM Model
2. Seamlessly fused digital-analogue reconfigurable computing using memristors
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1. A Memristor Circuit Implementing Tunable Stochastic Distributions for Bayesian Inference and Monte Carlo Sampling;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
2. A Memristive True Random Number Generator;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04
3. Memristive Stochastic Binary Neurons for Solving Optimisation Problems;2023 18th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA);2023-09-28
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