Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloEvidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
Anno di pubblicazione2018
FormatoElettronico
Autore/iFrascaroli, Jacopo; Brivio, Stefano; Covi, Erika; Spiga, Sabina
Affiliazioni autoriCNR - IMM, Unità di Agrate Brianza
Autori CNR e affiliazioni
  • JACOPO FRASCAROLI
  • STEFANO BRIVIO
  • ERIKA COVI
  • SABINA SPIGA
Lingua/e
  • inglese
AbstractThe development of devices that can modulate their conductance under the application of electrical stimuli constitutes a fundamental step towards the realization of synaptic connectivity in neural networks. Optimization of synaptic functionality requires the understanding of the analogue conductance update under different programming conditions. Moreover, properties of physical devices such as bounded conductance values and state-dependent modulation should be considered as they affect storage capacity and performance of the network. This work provides a study of the conductance dynamics produced by identical pulses as a function of the programming parameters in an HfO memristive device. The application of a phenomenological model that considers a soft approach to the conductance boundaries allows the identification of different operation regimes and to quantify conductance modulation in the analogue region. Device non-linear switching kinetics is recognized as the physical origin of the transition between different dynamics and motivates the crucial trade-off between degree of analog modulation and memory window. Different kinetics for the processes of conductance increase and decrease account for device programming asymmetry. The identification of programming trade-off together with an evaluation of device variations provide a guideline for the optimization of the analogue programming in view of hardware implementation of neural networks.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da7178-1
Pagine a7178-12
Pagine totali12
RivistaScientific reports (Nature Publishing Group)
Attiva dal 2011
Editore: Nature Publishing Group - London
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 2045-2322
Titolo chiave: Scientific reports (Nature Publishing Group)
Titolo proprio: Scientific reports (Nature Publishing Group)
Numero volume della rivista8
Fascicolo della rivista1
DOI10.1038/s41598-018-25376-x
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85046862407)
  • ISI Web of Science (WOS) (Codice:WOS:000431625000001)
Parole chiavememristor, RRAM, ReRAM, synaptic, neuromorphic
Link (URL, URI)https://www.nature.com/articles/s41598-018-25376-x
Titolo parallelo-
LicenzaCC-BY 4.0
Scadenza embargo-
Data di accettazione11/04/2018
Note/Altre informazioni-
Strutture CNR
  • IMM — Istituto per la microelettronica e microsistemi
Moduli/Attività/Sottoprogetti CNR
  • DFM.AD001.081.001 : NEUral computing aRchitectures in Advanced Monolithic 3D-VLSI nano-technologies
Progetti Europei
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