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A memristor SPICE model accounting for synaptic activity dependence

A memristor SPICE model accounting for synaptic activity dependence
A memristor SPICE model accounting for synaptic activity dependence
In this work, we propose a new memristor SPICE model that accounts for the typical synaptic characteristics that have been previously demonstrated with practical memristive devices. We show that this model could account for both volatile and non-volatile memristance changes under distinct stimuli. We then demonstrate that our model is capable of supporting typical STDP with simple non-overlapping digital pulse pairs. Finally, we investigate the capability of our model to simulate the activity dependence dynamics of synaptic modification
and present simulated results that are in excellent agreement with biological results.
1932-6203
e0120506
Li, Qingjiang
dba4b092-aaf5-4272-ad35-c7c60225de52
Serb, Alexander
30f5ec26-f51d-42b3-85fd-0325a27a792c
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Xu, Hui
552bd821-498f-49c0-b384-053c0da90b58
Cymbalyuk, Gennady
18a06af2-0094-4532-9ede-14ab7c48935e
Cymbalyuk, Gennady
18a06af2-0094-4532-9ede-14ab7c48935e
Li, Qingjiang
dba4b092-aaf5-4272-ad35-c7c60225de52
Serb, Alexander
30f5ec26-f51d-42b3-85fd-0325a27a792c
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Xu, Hui
552bd821-498f-49c0-b384-053c0da90b58

Li, Qingjiang, Serb, Alexander, Prodromakis, Themistoklis and Xu, Hui , Cymbalyuk, Gennady (ed.) (2015) A memristor SPICE model accounting for synaptic activity dependence. PLoS ONE, 10 (3), e0120506. (doi:10.1371/journal.pone.0120506).

Record type: Article

Abstract

In this work, we propose a new memristor SPICE model that accounts for the typical synaptic characteristics that have been previously demonstrated with practical memristive devices. We show that this model could account for both volatile and non-volatile memristance changes under distinct stimuli. We then demonstrate that our model is capable of supporting typical STDP with simple non-overlapping digital pulse pairs. Finally, we investigate the capability of our model to simulate the activity dependence dynamics of synaptic modification
and present simulated results that are in excellent agreement with biological results.

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More information

Accepted/In Press date: 23 January 2015
Published date: 18 March 2015
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 375686
URI: http://eprints.soton.ac.uk/id/eprint/375686
ISSN: 1932-6203
PURE UUID: c13d4061-d823-4f9c-a4c9-c53458cdc6e6
ORCID for Themistoklis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 10 Apr 2015 14:20
Last modified: 18 Feb 2021 17:22

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Contributors

Editor: Gennady Cymbalyuk
Author: Qingjiang Li
Author: Alexander Serb
Author: Hui Xu

University divisions

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