NDLI: Method for ex-situ training in memristor-based neuromorphic circuit using robust weight programming method

Content Provider	IET Digital Library
Author	Yakopcic, C. Taha, T. M. Lean, M. Mc
Abstract	A feedback-based weight programming method for a high-density crossbar without the use of any transistor or diode isolation is presented. A series of reads is applied to the crossbar before each write that is able to determine the resistance of each memristor in the crossbar despite the many parallel resistance paths. This is essential because the variation observed in memristor crossbars makes programming very difficult when using just a single write pulse and no error checking. A neuromorphic circuit is programmed using this method. Results show successful ex-situ training of a high-density crossbar with significant area savings when compared with a one transistor one memristor design.
Starting Page	899
Ending Page	900
Page Count	2
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 12, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.4280
Journal	Electronics Letters
Publisher Date	2015-05-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	1T1M Design Circuit Implementations Ex-situ Training Feedback-based Weight Programming Method High-density Crossbar Memristor Circuit Memristor Crossbars Memristor-based Neuromorphic Circuit Neural Chips Neural Net Device Neural Nets One Transistor One Memristor Design Resistor Robust Weight Programming Method Single Write Pulse Transistor Circuit
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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