Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloSpike-timing-dependent plasticity of polyaniline-based memristive element
Anno di pubblicazione2018
Formato
  • Elettronico
  • Cartaceo
Autore/iLapkin D.A.; Emelyanov A.V.; Demin V.A.; Berzina T.S.; Erokhin V.V.
Affiliazioni autoriNational Research Center, Kurchatov Institute, Moscow, 123182, Russian Federation; Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, 141700, Russian Federation; CNR-IMEM (National Research Council, Institute of Materials for Electronics and Magnetism), Parco Area delle Scienze, 37A, Parma, 43124, Italy;
Autori CNR e affiliazioni
  • VICTOR EROKHIN
  • TATIANA IVANOVA
Lingua/e
  • inglese
AbstractA phenomenological model of the polyaniline (PANI) based memristive element's conductivity evolution during the application of varying voltages is presented in this work. The model is based on the experimental data on the conductance versus time dependencies for a set of applied voltages. The model could be used for simulation of complex artificial neural networks (ANNs) based on PANI memristive elements. We have experimentally shown that organic PANI-based memristive element could be trained by the biologically inspired spike-timing-dependent plasticity mechanism. The results obtained by the simulation using the developed model are in a good agreement with the experimental data. It allows considering the usage of the organic memristive element as a synaptic element in a hardware realization of spiking ANNs capable of non-supervised learning.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da43
Pagine a47
Pagine totali5
RivistaMicroelectronic engineering
Attiva dal 1983
Editore: North-Holland - Amsterdam
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0167-9317
Titolo chiave: Microelectronic engineering
Titolo proprio: Microelectronic engineering.
Titolo abbreviato: Microelectron. eng.
Numero volume della rivista185-186
Fascicolo della rivista-
DOI10.1016/j.mee.2017.10.017
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85034447289)
  • ISI Web of Science (WOS) (Codice:000419409400005)
Parole chiaveArtificial neural networks, Memristor, Polyaniline, Resistive switching, Spike-timing-dependent plasticity
Link (URL, URI)https://www.sciencedirect.com/science/article/pii/S016793171730357X
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IMEM — Istituto dei materiali per l'elettronica ed il magnetismo
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Spike-timing-dependent plasticity of polyaniline-based memristive element (documento privato )
Descrizione: Versione finale pubblicata in pdf
Tipo documento: application/pdf