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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Format: | Article |
Language: | English |
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MDPI AG
2012-03-01
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Series: | Sensors |
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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. |
first_indexed | 2024-04-14T04:22:35Z |
format | Article |
id | doaj.art-1272525d48514fe3aabc92dfb324836b |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T04:22:35Z |
publishDate | 2012-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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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