Evidence map›Paper›PMID 32968256›Full record

ArticleNature2020

Third-order nanocircuit elements for neuromorphic engineering.

Suhas Kumar, R Stanley Williams, Ziwen Wang

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Ultralow-Energy Analog Reservoir Computing via Reconfigurable 2-Transistor Memory.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Artificial neural manifolds.Nature communications · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Low-Latency Visuotactile Neuron Using Self-Oscillating Memristor.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  9. Review
  10. Article
  11. Printed devices turn neuromorphic.Nature nanotechnology · 2026
    Article
  12. Printed MoSNature nanotechnology · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Signal processing and resistive switching mechanisms of niobium oxides.Science and technology of advanced materials · 2026
    Review
  20. Article

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Suhas KumarHewlett Packard Labs, Palo Alto, CA, USA. su1@alumni.stanford.edu.ORCID http://orcid.org/0000-0002-6772-7250
R Stanley WilliamsTexas A&M University, College Station, TX, USA.
Ziwen WangStanford University, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on elaborate transistor circuits to simulate biological functions. However, these can instead be more faithfully emulated by higher-order circuit elements that naturally express neuromorphic nonlinear dynamics

Indexed as

Artificial IntelligenceComputer SimulationModels, NeurologicalAction PotentialsBiomimeticsElectrodesElectrophysiologyEngineeringLogic

Identifiers

What OpenQuestion holds

Textmetadata
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.