Evidence map›Paper›PMID 38594291›Full record

ArticleScientific reports2024

Highly biomimetic spiking neuron using SiGe heterojunction bipolar transistors for energy-efficient neuromorphic systems.

Yijoon Kim, Hyangwoo Kim, Kyounghwan Oh, Ju Hong Park, Chang-Ki Baek

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Yijoon KimDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea.
Hyangwoo KimFuture IT Innovation Laboratory, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea.
Kyounghwan OhDepartment of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea.
Ju Hong ParkDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea.
Chang-Ki BaekDepartment of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea. baekck@postech.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate a highly biomimetic spiking neuron capable of fast and energy-efficient neuronal oscillation dynamics. Our simple neuron circuit is constructed using silicon-germanium heterojunction based bipolar transistors (HBTs) with nanowire structure. The HBT has a hysteresis window with steep switching characteristics and high current margin in the low voltage range, which enables a high spiking frequency (~ 245 kHz) with low energy consumption (≤ 1.37 pJ/spike). Also, gated structure achieves a stable balance in the activity of the neural system by incorporating both excitatory and inhibitory signal. Furthermore, inhibition of multiple strengths can be realized by adjusting the integration time according to the amplitude of the inhibitory signal. In addition, the spiking frequency can be tuned by mutually controlling the hysteresis window in the HBTs. These results ensure the sparse activity and homeostasis of neural networks.

Identifiers

PMID38594291
PMCPMC11004001

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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.