Evidence map›Paper›PMID 35347271›Full record

ArticleNature nanotechnology2022

Phase-change memtransistive synapses for mixed-plasticity neural computations.

Syed Ghazi Sarwat, Benedikt Kersting, Timoleon Moraitis, Vara Prasad Jonnalagadda, Abu Sebastian

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In one paragraph

Article in Nature nanotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Optoelectronic Nanofluidic Neural Networks for Ionic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
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  14. Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Article
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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

5 authors.

Syed Ghazi SarwatIBM Research - Europe, Rüschlikon, Switzerland. ghs@zurich.ibm.com.ORCID http://orcid.org/0000-0002-2054-4887
Benedikt KerstingIBM Research - Europe, Rüschlikon, Switzerland.
Timoleon MoraitisIBM Research - Europe, Rüschlikon, Switzerland.ORCID http://orcid.org/0000-0002-6521-0717
Vara Prasad JonnalagaddaIBM Research - Europe, Rüschlikon, Switzerland.
Abu SebastianIBM Research - Europe, Rüschlikon, Switzerland. ase@zurich.ibm.com.ORCID http://orcid.org/0000-0001-5603-5243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the mammalian nervous system, various synaptic plasticity rules act, either individually or synergistically, over wide-ranging timescales to enable learning and memory formation. Hence, in neuromorphic computing platforms, there is a significant need for artificial synapses that can faithfully express such multi-timescale plasticity mechanisms. Although some plasticity rules have been emulated with elaborate complementary metal oxide semiconductor and memristive circuitry, device-level hardware realizations of long-term and short-term plasticity with tunable dynamics are lacking. Here we introduce a phase-change memtransistive synapse that leverages both the non-volatility of the phase configurations and the volatility of field-effect modulation for implementing tunable plasticities. We show that these mixed-plasticity synapses can enable plasticity rules such as short-term spike-timing-dependent plasticity that helps with the modelling of dynamic environments. Further, we demonstrate the efficacy of the memtransistive synapses in realizing accelerators for Hopfield neural networks for solving combinatorial optimization problems.

Indexed as

Neuronal PlasticitySynapsesAnimalsMammalsNeural Networks, ComputerSemiconductors

Identifiers

What OpenQuestion holds

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Registered trials

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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.