Fast Circuit Simulation of Memristive Crossbar Arrays with Bimodal Stochastic Synaptic Weights
Author:
Affiliation:
1. University of Applied Sciences,NanoP, TH Mittelhessen,Giessen,Germany
2. IHP-Leibniz-Institut für Innovative Mikroelektronik,Frankfurt (Oder),Germany
3. Universitat Rovira i Virgili,DEEEA,Tarragona,Spain
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10555569/10555588/10555829.pdf?arnumber=10555829
Reference8 articles.
1. In-depth characterization of switching dynamics in amorphous HfO2 memristive arrays for the implementation of synaptic updating rules
2. Electrical characterization of read window in reram arrays under different SET/RESET cycling conditions
3. Compact Model of HfOX-Based Electronic Synaptic Devices for Neuromorphic Computing
4. Efficient circuit simulation of a memristive crossbar array with synaptic weight variability
5. Stochastic switching of memristors and consideration in circuit simulation
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