Evidence map›Paper›PMID 38987452›Full record

ArticleJournal of computational neuroscience2024

Antiferromagnetic artificial neuron modeling of the withdrawal reflex.

Hannah Bradley, Lily Quach, Steven Louis, Vasyl Tyberkevych

Abstract read
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In one paragraph

Article in Journal of computational neuroscience, 2024. 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

4 authors.

Hannah BradleyDepartment of Physics, Oakland University, Rochester, 48309, Michigan, USA. hbradley@oakland.edu.ORCID 0000-0001-9208-4827
Lily QuachOakland University William Beaumont School of Medicine, Rochester, 48309, Michigan, USA.
Steven LouisDepartment of Electrical and Computer Engineering, Oakland University, Rochester, 48309, Michigan, USA.ORCID 0000-0002-6256-6005
Vasyl TyberkevychDepartment of Physics, Oakland University, Rochester, 48309, Michigan, USA.ORCID 0000-0002-8374-2565

Funding

Air Force Office of Scientific Research FA9550-19-1-0307
6 · The paper itself

Abstract

Replicating neural responses observed in biological systems using artificial neural networks holds significant promise in the fields of medicine and engineering. In this study, we employ ultra-fast artificial neurons based on antiferromagnetic (AFM) spin Hall oscillators to emulate the biological withdrawal reflex responsible for self-preservation against noxious stimuli, such as pain or temperature. As a result of utilizing the dynamics of AFM neurons, we are able to construct an artificial neural network that can mimic the functionality and organization of the biological neural network responsible for this reflex. The unique features of AFM neurons, such as inhibition that stems from an effective AFM inertia, allow for the creation of biologically realistic neural network components, like the interneurons in the spinal cord and antagonist motor neurons. To showcase the effectiveness of AFM neuron modeling, we conduct simulations of various scenarios that define the withdrawal reflex, including responses to both weak and strong sensory stimuli, as well as voluntary suppression of the reflex.

Indexed as

Models, NeurologicalNeural Networks, ComputerNeuronsReflexAnimalsComputer SimulationHumansAntiferromagnetsArtificial neural networksArtificial neuronBiological system modelingNeuroanatomy

Identifiers

PMID38987452

What OpenQuestion holds

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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.