Evidence map›Paper›PMID 38680341›Full record

ArticleACS omega2024

Ultralow Power Electronic Analog of a Biological Fitzhugh-Nagumo Neuron.

Ragib Ahsan, Zezhi Wu, Seyedeh Atiyeh Abbasi Jalal, Rehan Kapadia

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ragib AhsanDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles 90089-0001, United States.ORCID https://orcid.org/0000-0002-3833-7851
Zezhi WuDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles 90089-0001, United States.
Seyedeh Atiyeh Abbasi JalalDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles 90089-0001, United States.
Rehan KapadiaDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles 90089-0001, United States.ORCID https://orcid.org/0000-0002-7611-0551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we introduce an electronic circuit that mimics the functionality of a biological spiking neuron following the Fitzhugh-Nagumo (FN) model. The circuit consists of a tunnel diode that exhibits negative differential resistance (NDR) and an active inductive element implemented by a single MOSFET. The FN neuron converts a DC voltage excitation into voltage spikes analogous to biological action potentials. We predict an energy cost of 2 aJ/cycle through detailed simulation and modeling for these FN neurons. Such an FN neuron is CMOS compatible and enables ultralow power oscillatory and spiking neural network hardware. We demonstrate that FN neurons can be used for oscillator-based computing in a coupled oscillator network to form an oscillator Ising machine (OIM) that can solve computationally hard NP-complete max-cut problems while showing robustness toward process variations.

Identifiers

PMID38680341
PMCPMC11044232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.