On the application of a diffusive memristor compact model to neuromorphic circuits

"Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their respon...

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Autores principales: Cisternas Ferri, Agustín, Rapoport, Alan, Fierens, Pablo Ignacio, Patterson, Germán, Miranda, Enrique, Suñé, Jordi
Formato: Artículos de Publicaciones Periódicas publishedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
MEMRISTORS
CIRCUITOS NEUROMORFICOS
SINAPSIS
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1768
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1768
record_format dspace
spelling I32-R138-123456789-17682022-12-07T13:06:24Z On the application of a diffusive memristor compact model to neuromorphic circuits Cisternas Ferri, Agustín Rapoport, Alan Fierens, Pablo Ignacio Patterson, Germán Miranda, Enrique Suñé, Jordi MEMRISTORS CIRCUITOS NEUROMORFICOS SINAPSIS "Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their response requires a laborious fabrication process. Moreover, sample to sample variability makes experimentation with memristor-based synapses even harder. The usual alternatives are to either simulate or emulate the memristive systems under study. Both methodologies require the use of accurate modeling equations. In this paper, we present a diffusive compact model of memristive behavior that has already been experimentally validated. Furthermore, we implement an emulation architecture that enables us to freely explore the synapse-like characteristics of memristors. The main advantage of emulation over simulation is that the former allows us to work with real-world circuits. Our results can give some insight into the desirable characteristics of the memristors for neuromorphic applications." 2019-09-26T13:53:36Z 2019-09-26T13:53:36Z 2019 Artículos de Publicaciones Periódicas info:eu-repo/semantics/publishedVersion 1996-1944 http://ri.itba.edu.ar/handle/123456789/1768 en info:eu-repo/semantics/reference/doi/10.3390/ma12142260 info:eu-repo/grantAgreement/EU/H2020/ECSEL/2017-1-IA/EU. Bruselas/WakemeUP info:eu-repo/grantAgreement/ MINECO/PCI/2018-093107/SP. Madrid https://creativecommons.org/licenses/by/4.0/ application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic MEMRISTORS
CIRCUITOS NEUROMORFICOS
SINAPSIS
spellingShingle MEMRISTORS
CIRCUITOS NEUROMORFICOS
SINAPSIS
Cisternas Ferri, Agustín
Rapoport, Alan
Fierens, Pablo Ignacio
Patterson, Germán
Miranda, Enrique
Suñé, Jordi
On the application of a diffusive memristor compact model to neuromorphic circuits
topic_facet MEMRISTORS
CIRCUITOS NEUROMORFICOS
SINAPSIS
description "Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their response requires a laborious fabrication process. Moreover, sample to sample variability makes experimentation with memristor-based synapses even harder. The usual alternatives are to either simulate or emulate the memristive systems under study. Both methodologies require the use of accurate modeling equations. In this paper, we present a diffusive compact model of memristive behavior that has already been experimentally validated. Furthermore, we implement an emulation architecture that enables us to freely explore the synapse-like characteristics of memristors. The main advantage of emulation over simulation is that the former allows us to work with real-world circuits. Our results can give some insight into the desirable characteristics of the memristors for neuromorphic applications."
format Artículos de Publicaciones Periódicas
publishedVersion
author Cisternas Ferri, Agustín
Rapoport, Alan
Fierens, Pablo Ignacio
Patterson, Germán
Miranda, Enrique
Suñé, Jordi
author_facet Cisternas Ferri, Agustín
Rapoport, Alan
Fierens, Pablo Ignacio
Patterson, Germán
Miranda, Enrique
Suñé, Jordi
author_sort Cisternas Ferri, Agustín
title On the application of a diffusive memristor compact model to neuromorphic circuits
title_short On the application of a diffusive memristor compact model to neuromorphic circuits
title_full On the application of a diffusive memristor compact model to neuromorphic circuits
title_fullStr On the application of a diffusive memristor compact model to neuromorphic circuits
title_full_unstemmed On the application of a diffusive memristor compact model to neuromorphic circuits
title_sort on the application of a diffusive memristor compact model to neuromorphic circuits
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1768
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