A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators

A memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor. This study is an extension of the previous work advancing toward t...

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Main Authors: Leon Chua, Maheshwar Pd. Sah, Hyongsuk Kim, Changju Yang
Format: Article
Language:English
Published: MDPI AG 2012-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/12/3/3587/
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author Leon Chua
Maheshwar Pd. Sah
Hyongsuk Kim
Changju Yang
author_facet Leon Chua
Maheshwar Pd. Sah
Hyongsuk Kim
Changju Yang
author_sort Leon Chua
collection DOAJ
description A memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor. This study is an extension of the previous work advancing toward the circuit implementation where the architecture of the memristor bridge synapse is built with memristor emulator circuits. In addition, a simple neural network which performs both synaptic weighting and summation is built by combining memristor emulators-based synapses and differential amplifier circuits. The feasibility of the memristor bridge neural circuit is verified via SPICE simulations.
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spelling doaj.art-1272525d48514fe3aabc92dfb324836b2022-12-22T02:12:26ZengMDPI AGSensors1424-82202012-03-011233587360410.3390/s120303587A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor EmulatorsLeon ChuaMaheshwar Pd. SahHyongsuk KimChangju YangA memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor. This study is an extension of the previous work advancing toward the circuit implementation where the architecture of the memristor bridge synapse is built with memristor emulator circuits. In addition, a simple neural network which performs both synaptic weighting and summation is built by combining memristor emulators-based synapses and differential amplifier circuits. The feasibility of the memristor bridge neural circuit is verified via SPICE simulations.http://www.mdpi.com/1424-8220/12/3/3587/memristor bridgenon-volatile programming weightneuronsynapsesynaptic multiplication
spellingShingle Leon Chua
Maheshwar Pd. Sah
Hyongsuk Kim
Changju Yang
A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
Sensors
memristor bridge
non-volatile programming weight
neuron
synapse
synaptic multiplication
title A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
title_full A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
title_fullStr A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
title_full_unstemmed A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
title_short A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
title_sort voltage mode memristor bridge synaptic circuit with memristor emulators
topic memristor bridge
non-volatile programming weight
neuron
synapse
synaptic multiplication
url http://www.mdpi.com/1424-8220/12/3/3587/
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