Evidence map›Paper›PMID 38468430›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

An Ultrasensitive Biomimetic Optic Afferent Nervous System with Circadian Learnability.

Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. An Ultrasensitive Biomimetic Optic Afferent Nervous System with Circadian Learnability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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.

Kaiyang WangCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300071, P. R. China.
Shuhui RenCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300071, P. R. China.
Yunfang JiaCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300071, P. R. China.
Xiaobing YanKey Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding, 071002, P. R. China.ORCID 0000-0002-3266-515X

Funding

National Natural Science Foundation of China 61771260National Natural Science Foundation of China 61874158National Natural Science Foundation of China 62004056National Natural Science Foundation of China 62271269
6 · The paper itself

Abstract

The optic afferent nervous system (OANS) plays a significant role in generating vision and circadian behaviors based on light detection and signals from the endocrine system. However, the bionic simulation of this photochemically mediated behavior is still a challenge for neuromorphic devices. Herein, stimuli of neurotransmitters at ultralow concentrations and illumination are coupled to artificial synapses with the aid of biofunctionalized heterojunction and tunneling to successfully simulate a circadian neural response. Furthermore, the mechanisms underlying the photosensitive synaptic current in response to stimuli are described. Interestingly, this OANS is demonstrated to be capable of mimicking normal and abnormal circadian learnability by combining the measured synaptic current with a three-layer spike neural network. Strong theoretical and experimental evidence, as well as applications, are provided for the proposed biomimetic OANS to demonstrate that it can reproduce biological circadian behavior, thus establishing it as a promising candidate for future neuromorphic intelligent robots.

Indexed as

BiomimeticsCircadian RhythmAnimalsHumansNeural Networks, Computercircadian rhythmheterojunctionneurotransmitteroptic afferent nervous systemsynapse

Identifiers

PMID38468430
PMCPMC11151074

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.