Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron

A perpendicular spin transfer torque (p-STT)-based neuron was developed for a spiking neural network (SNN). It demonstrated the integration behavior of a typical neuron in an SNN; in particular, the integration behavior corresponding to magnetic resistance change gradually increased with the input s...

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Autores principales: Kim, Dong Won, Yi, Woo Seok, Choi, Jin Young, Ashiba, Kei, Baek, Jong Ung, Jun, Han Sol, Kim, Jae Joon, Park, Jea Gun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204637/
https://www.ncbi.nlm.nih.gov/pubmed/32425744
http://dx.doi.org/10.3389/fnins.2020.00309
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author Kim, Dong Won
Yi, Woo Seok
Choi, Jin Young
Ashiba, Kei
Baek, Jong Ung
Jun, Han Sol
Kim, Jae Joon
Park, Jea Gun
author_facet Kim, Dong Won
Yi, Woo Seok
Choi, Jin Young
Ashiba, Kei
Baek, Jong Ung
Jun, Han Sol
Kim, Jae Joon
Park, Jea Gun
author_sort Kim, Dong Won
collection PubMed
description A perpendicular spin transfer torque (p-STT)-based neuron was developed for a spiking neural network (SNN). It demonstrated the integration behavior of a typical neuron in an SNN; in particular, the integration behavior corresponding to magnetic resistance change gradually increased with the input spike number. This behavior occurred when the spin electron directions between double Co(2)Fe(6)B(2) free and pinned layers in the p-STT-based neuron were switched from parallel to antiparallel states. In addition, a neuron circuit for integrate-and-fire operation was proposed. Finally, pattern-recognition simulation was performed for a single-layer SNN.
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spelling pubmed-72046372020-05-18 Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron Kim, Dong Won Yi, Woo Seok Choi, Jin Young Ashiba, Kei Baek, Jong Ung Jun, Han Sol Kim, Jae Joon Park, Jea Gun Front Neurosci Neuroscience A perpendicular spin transfer torque (p-STT)-based neuron was developed for a spiking neural network (SNN). It demonstrated the integration behavior of a typical neuron in an SNN; in particular, the integration behavior corresponding to magnetic resistance change gradually increased with the input spike number. This behavior occurred when the spin electron directions between double Co(2)Fe(6)B(2) free and pinned layers in the p-STT-based neuron were switched from parallel to antiparallel states. In addition, a neuron circuit for integrate-and-fire operation was proposed. Finally, pattern-recognition simulation was performed for a single-layer SNN. Frontiers Media S.A. 2020-04-30 /pmc/articles/PMC7204637/ /pubmed/32425744 http://dx.doi.org/10.3389/fnins.2020.00309 Text en Copyright © 2020 Kim, Yi, Choi, Ashiba, Baek, Jun, Kim and Park. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kim, Dong Won
Yi, Woo Seok
Choi, Jin Young
Ashiba, Kei
Baek, Jong Ung
Jun, Han Sol
Kim, Jae Joon
Park, Jea Gun
Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
title Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
title_full Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
title_fullStr Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
title_full_unstemmed Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
title_short Double MgO-Based Perpendicular Magnetic Tunnel Junction for Artificial Neuron
title_sort double mgo-based perpendicular magnetic tunnel junction for artificial neuron
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204637/
https://www.ncbi.nlm.nih.gov/pubmed/32425744
http://dx.doi.org/10.3389/fnins.2020.00309
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