Evidence map›Paper›PMID 37083527›Full record

ArticleScience advances2023

Neuromorphic learning, working memory, and metaplasticity in nanowire networks.

Alon Loeffler, Adrian Diaz-Alvarez, Ruomin Zhu, Natesh Ganesh, James M Shine, Tomonobu Nakayama, Zdenka Kuncic

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  8. A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

7 authors.

Alon LoefflerThe University of Sydney, School of Physics, Sydney, Australia.ORCID 0000-0002-8866-3073
Adrian Diaz-AlvarezInternational Center for Young Scientist (ICYS), National Institute for Materials Science (NIMS), Tsukuba, Japan.ORCID 0000-0003-4638-8488
Ruomin ZhuThe University of Sydney, School of Physics, Sydney, Australia.ORCID 0000-0002-2310-7762
Natesh GaneshNational Institute of Standards and Technology (NIST), Boulder, CO, USA.
James M ShineThe University of Sydney, School of Physics, Sydney, Australia.ORCID 0000-0003-1762-5499
Tomonobu NakayamaThe University of Sydney, School of Physics, Sydney, Australia.ORCID 0000-0001-9696-475X
Zdenka KuncicThe University of Sydney, School of Physics, Sydney, Australia.ORCID 0000-0001-6765-3215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanowire networks (NWNs) mimic the brain's neurosynaptic connectivity and emergent dynamics. Consequently, NWNs may also emulate the synaptic processes that enable higher-order cognitive functions such as learning and memory. A quintessential cognitive task used to measure human working memory is the

Indexed as

Memory, Short-TermNanowiresHumansLearningNeuronal PlasticitySynapses

Identifiers

PMID37083527
PMCPMC10121165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.