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.
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
18 March 2015
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), .
(doi:10.1371/journal.pone.0120506).
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.
Other
fetchObject.action_uri=info_doi%2F10.1371%2Fjournal.pone.0120506&representation=PDF
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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
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Date deposited: 10 Apr 2015 14:20
Last modified: 14 Mar 2024 19:30
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Contributors
Editor:
Gennady Cymbalyuk
Author:
Qingjiang Li
Author:
Alexander Serb
Author:
Themistoklis Prodromakis
Author:
Hui Xu
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