Evidence map›Paper›PMID 33477650›Full record

ArticleSensors (Basel, Switzerland)2021

Implementation of Neuro-Memristive Synapse for Long-and Short-Term Bio-Synaptic Plasticity.

Zubaer I Mannan, Hyongsuk Kim, Leon Chua

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Ion transport through reconfigurable nanoparticle-surfactant stabilized droplet interface bilayers.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Advanced Neuromorphic Applications Enabled by Synaptic Ion-Gating Vertical Transistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  6. Article
  7. 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

3 authors.

Zubaer I MannanDivision of Electronics and Information Engineering and Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju 567-54896, Korea.
Hyongsuk KimDivision of Electronics Engineering and Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju 567-54896, Korea.ORCID 0000-0002-3321-5695
Leon ChuaDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720-1770, USA.

Funding

Air Force Office of Scientific Research FA9550-18-1-0016National Research Foundation of Korea NRF-2019R1A6A1A09031717 and NRF-2019R1A2C1011297
6 · The paper itself

Abstract

In this paper, we propose a complex neuro-memristive synapse that exhibits the physiological acts of synaptic potentiation and depression of the human-brain. Specifically, the proposed neuromorphic synapse efficiently imitates the synaptic plasticity, especially long-term potentiation (LTP) and depression (LTD), and short-term facilitation (STF) and depression (STD), phenomena of a biological synapse. Similar to biological synapse, the short- or long-term potentiation (STF and LTP) or depression (STD or LTD) of the memristive synapse are distinguished on the basis of time or repetition of input cycles. The proposed synapse is also designed to exhibit the effect of reuptake and neurotransmitters diffusion processes of a bio-synapse. In addition, it exhibits the distinct bio-realistic attributes, i.e., strong stimulation, exponentially decaying conductance trace of synapse, and voltage dependent synaptic responses, of a neuron. The neuro-memristive synapse is designed in SPICE and its bio-realistic functionalities are demonstrated via various simulations.

Indexed as

Neuronal PlasticitySynapsesHumansLong-Term PotentiationNeuronslong-term depression (LTD)long-term potentiation (LTP)memristorneuromorphic circuitshort-term depression (STD)short-term facilitation (STF)synaptic plasticity

Identifiers

PMID33477650
PMCPMC7831501

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.