Evidence map›Paper›PMID 33679290›Full record

ArticleFrontiers in neuroscience2020

Learning to Approximate Functions Using Nb-Doped SrTiO

Thomas F Tiotto, Anouk S Goossens, Jelmer P Borst, Tamalika Banerjee, Niels A Taatgen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Thomas F TiottoGroningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands.
Anouk S GoossensGroningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands.
Jelmer P BorstGroningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands.
Tamalika BanerjeeGroningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands.
Niels A TaatgenGroningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Memristors have attracted interest as neuromorphic computation elements because they show promise in enabling efficient hardware implementations of artificial neurons and synapses. We performed measurements on interface-type memristors to validate their use in neuromorphic hardware. Specifically, we utilized Nb-doped SrTiO

Indexed as

function approximationinterface memristorNb-doped SrTiO3neural networksneuromorphic computingspiking neural networksupervised learning

Identifiers

PMID33679290
PMCPMC7933504

What OpenQuestion holds

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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.