Evidence map›Paper›PMID 41977927›Full record

ArticleSensors (Basel, Switzerland)2026

Spiking Neuron with Sensing Coil Based on a Volatile Memristor.

Timur Karimov, Vyacheslav Rybin, Vasiliy Pchelko, Alexander Mikhailov, Yulia Bobrova, Denis Butusov

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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
–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

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

6 authors.

Timur KarimovYouth Research Institute, Saint Petersburg Electrotechnical University "LETI", Professora Popova St. 5F, Saint Petersburg 197022, Russia.ORCID 0000-0002-9860-8211
Vyacheslav RybinDepartment of Computer-Aided Design, Saint Petersburg Electrotechnical University "LETI", Professora Popova St. 5F, Saint Petersburg 197022, Russia.ORCID 0000-0002-6515-0224
Vasiliy PchelkoDepartment of Computer-Aided Design, Saint Petersburg Electrotechnical University "LETI", Professora Popova St. 5F, Saint Petersburg 197022, Russia.ORCID 0009-0002-2584-1474
Alexander MikhailovDepartment of Computer-Aided Design, Saint Petersburg Electrotechnical University "LETI", Professora Popova St. 5F, Saint Petersburg 197022, Russia.ORCID 0009-0007-9994-9601
Yulia BobrovaDepartment of Computer-Aided Design, Saint Petersburg Electrotechnical University "LETI", Professora Popova St. 5F, Saint Petersburg 197022, Russia.ORCID 0000-0002-3700-8693
Denis ButusovDepartment of Computer-Aided Design, Saint Petersburg Electrotechnical University "LETI", Professora Popova St. 5F, Saint Petersburg 197022, Russia.ORCID 0000-0002-8941-4220

Funding

Russian Science Foundation 25-79-10172
6 · The paper itself

Abstract

The convergence of sensing and processing is a critical frontier in the development of energy-efficient spiking edge intelligence. This paper presents a novel hardware implementation of a sensory neuron evolving from the leaky integrate-and-fire (LIF) model by coupling a volatile memristor with an LC tank circuit. The proposed memristor-resistor-inductor-capacitor (MRLC) neuron embeds electromagnetic sensing directly into neuronal dynamics, enabling direct transduction of proximity information into spike trains. We demonstrate that the circuit functions as a metal-sensitive proximity sensor with spiking output in both simulation and physical experiments. Moreover, the MRLC neuron exhibits rich dynamical regimes, including regular spiking, bursting with 2-5 spikes per burst, and quasi-chaotic behavior, as well as sensing memory provided by hysteresis-like multistability, which is a notable advancement over simple rate-encoding LIF neurons.

Indexed as

electromagnetic sensingmetal detectionneuromorphic hardwareproximity sensingsensory neuronspiking neural networksvolatile memristor

Identifiers

PMID41977927
PMCPMC13075330

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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.