Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog-to-digital converter (ADC) with up to 8 bits of p...

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Bibliographic Details
Main Authors: Xinjie eGuo, Farnood eMerrikh-Bayat, Ligang eGao, Fabien eAlibart, Brian eHoskins, Luke eTheogarajan, Christof eTeuscher, Bernabe eLinares-Barranco, Dmitri eStrukov
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-12-01
Series:Frontiers in Neuroscience
Subjects:
recurrent neural network
Memristor
hybrid circuits
resistive switching
Hopfield network
analog-to-digital conversion.
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00488/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00488/full

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