Evidence map›Paper›PMID 36925742›Full record

ArticleFrontiers in neuroscience2023

Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern.

Dinar N Masaev, Alina A Suleimanova, Nikita V Prudnikov, Mariia V Serenko, Andrey V Emelyanov, Vyacheslav A Demin, Igor A Lavrov, Max O Talanov, Victor V Erokhin

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Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Dinar N MasaevITIS, IFMB, Kazan Federal University, Kazan, Russia.
Alina A SuleimanovaB-Rain Labs LLC, Kazan, Russia.
Nikita V PrudnikovNational Research Centre Kurchatov Institute, Moscow, Russia.
Mariia V SerenkoNational Research Centre Kurchatov Institute, Moscow, Russia.
Andrey V EmelyanovNational Research Centre Kurchatov Institute, Moscow, Russia.
Vyacheslav A DeminNational Research Centre Kurchatov Institute, Moscow, Russia.
Igor A LavrovITIS, IFMB, Kazan Federal University, Kazan, Russia.
Max O TalanovITIS, IFMB, Kazan Federal University, Kazan, Russia.
Victor V ErokhinConsiglio Nazionale delle Ricerche at Istituto dei Materiali per l'Elettronica ed il Magnetismo, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing methods of neurorehabilitation include invasive or non-invasive stimulators that are usually simple digital generators with manually set parameters like pulse width, period, burst duration, and frequency of stimulation series. An obvious lack of adaptation capability of stimulators, as well as poor biocompatibility and high power consumption of prosthetic devices, highlights the need for medical usage of neuromorphic systems including memristive devices. The latter are electrical devices providing a wide range of complex synaptic functionality within a single element. In this study, we propose the memristive schematic capable of self-learning according to bio-plausible spike-timing-dependant plasticity to organize the electrical activity of the walking pattern generated by the central pattern generator.

Indexed as

central pattern generator (CPG)leaky integrate-and-fire (LIF) neuronmemristive neuronorganic memristive devicespinal cordwalking pattern formation

Identifiers

PMID36925742
PMCPMC10011148

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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.