Evidence map›Paper›PMID 34335153›Full record

ArticleFrontiers in neuroscience2021

Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs.

Nan Du, Xianyue Zhao, Ziang Chen, Bhaskar Choubey, Massimiliano Di Ventra, Ilona Skorupa, Danilo Bürger, Heidemarie Schmidt

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 36 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Nan DuDepartment Nano Device Technology, Fraunhofer Institute for Electronic Nano Systems, Chemnitz, Germany.
Xianyue ZhaoDepartment Nano Device Technology, Fraunhofer Institute for Electronic Nano Systems, Chemnitz, Germany.
Ziang ChenDepartment Nano Device Technology, Fraunhofer Institute for Electronic Nano Systems, Chemnitz, Germany.
Bhaskar ChoubeyAnalogue Circuits and Image Sensors, Universität Siegen, Siegen, Germany.
Massimiliano Di VentraDepartment of Physics, University of California, San Diego, La Jolla, CA, United States.
Ilona SkorupaInstitute of Ion Beam Physics and Materials Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Danilo BürgerDepartment Nano Device Technology, Fraunhofer Institute for Electronic Nano Systems, Chemnitz, Germany.
Heidemarie SchmidtDepartment Nano Device Technology, Fraunhofer Institute for Electronic Nano Systems, Chemnitz, Germany.
Chemnitz University of Technology · DEFraunhofer Institute for Electronic Nano Systems · DEHelmholtz-Zentrum Dresden-Rossendorf · DELeibniz Institute of Photonic Technology · DEUniversity of California, San Diego · USUniversity of Siegen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while being robust against any noisy input. The memristive device has been proposed as a promising candidate for emulating artificial synapses due to their complex multilevel and dynamical plastic behaviors. In this work, we exploit ultrastable analog BiFeO

Indexed as

artificial synapsecycle-number dependent plasticitygeneralized frequency-dependent plasticityneuronal noiseresistive switchingspike-timing dependent plasticitysynaptic plasticityunconventional neuromorphic computing

Identifiers

PMID34335153
PMCPMC8316997
OpenAlexW3179266694

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.