Evidence map›Paper›PMID 40497910›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Ferroelectric-Based Optoelectronic Synapses for Visual Perception: From Materials to Systems.

Yuqing Hu, Yixin Zhu, Xinli Chen, Qing Wan

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. 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. Ferroelectric nanodot reservoir for neuromorphic computing.Beilstein journal of nanotechnology · 2026
    Article
  2. Advanced Nanoscale Materials and (Flexible) Devices.Nanomaterials (Basel, Switzerland) · 2025
    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.

Yuqing HuYongjiang Laboratory, Functional Materials and Devices Heterogeneous Integration Research Center, Ningbo 315201, China.
Yixin ZhuYongjiang Laboratory, Functional Materials and Devices Heterogeneous Integration Research Center, Ningbo 315201, China.
Xinli ChenYongjiang Laboratory, Functional Materials and Devices Heterogeneous Integration Research Center, Ningbo 315201, China.
Qing WanYongjiang Laboratory, Functional Materials and Devices Heterogeneous Integration Research Center, Ningbo 315201, China.

Funding

the Key R&D Program of Zhejiang 2024SSYS0043Zhejiang Province introduces and cultivates leading innovation and entrepreneurship teams 2023TD1035
6 · The paper itself

Abstract

More than 70% of the information humans acquire from the external environment is derived through the visual system, where photosensitive function plays a pivotal role in the biological perception system. With the rapid development of artificial intelligence and robotics technology, achieving human-like visual perception has attracted a great amount of attention. The neuromorphic visual perception system provides a novel solution for achieving efficient and low-power visual information processing by simulating the working principle of the biological visual system. In recent years, ferroelectric materials have shown broad application prospects in the field of neuromorphic visual perception due to their unique spontaneous polarization characteristics and non-volatile response behavior under external field regulation. Especially in achieving tunable retinal neural synapses, visual information storage processing, and constructing dynamic visual sensing, ferroelectric materials have shown unique performance advantages. In this review, recent progress in neuromorphic visual perception based on ferroelectric materials is discussed, elaborating in detail on device structure, material systems, and applications, and exploring the potential future development trends and challenges faced in this field.

Indexed as

artificial visual perceptionbionic synapsesferroelectricneuromorphic computingpolarization regulation

Identifiers

PMID40497910
PMCPMC12157194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.