Neuromorphic In-Memory Computing for Marine Visual-Auditory Perception.

Qunrui Deng, Wenjie Chen, Xueting Liu, Yiming Sun, Nengjie Huo

Abstract read

In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. 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.

Qunrui DengGuangdong Provincial Key Laboratory of Chip and Integration Technology, School of Electronic Science and Engineering (School of Microelectronics), South China Normal University, Foshan, P. R. China.

Wenjie ChenGuangdong Provincial Key Laboratory of Chip and Integration Technology, School of Electronic Science and Engineering (School of Microelectronics), South China Normal University, Foshan, P. R. China.

Xueting LiuGuangdong Provincial Key Laboratory of Chip and Integration Technology, School of Electronic Science and Engineering (School of Microelectronics), South China Normal University, Foshan, P. R. China.

Yiming SunGuangdong Provincial Key Laboratory of Chip and Integration Technology, School of Electronic Science and Engineering (School of Microelectronics), South China Normal University, Foshan, P. R. China.

Nengjie HuoGuangdong Provincial Key Laboratory of Chip and Integration Technology, School of Electronic Science and Engineering (School of Microelectronics), South China Normal University, Foshan, P. R. China.ORCID https://orcid.org/0000-0003-2520-6243

Funding

Guangdong Basic and Applied Basic Research Foundation 2024A1515030107Guangdong Basic and Applied Basic Research Foundation 2026B1515020058National Natural Science Foundation of China 62574086

6 · The paper itself

Abstract

The exploration of marine environments is crucial, yet the extreme conditions of the deep-sea, combined with the segregated signal processing in current sensor technologies, lead to bulky systems, high energy consumption, and significant latency, which severely constrains the development of real-time intelligent perception systems underwater. Herein, we developed a neuromorphic floating-gate transistor (NFT) that integrates both electrical and optical memory functionalities, emulating simultaneously visual and auditory synaptic behaviors within a single unit, thus enabling in-memory dual-mode processing of visual-auditory signals. Electrically, it achieves rapid switching (∼14 µs), high on/off ratio (10

Indexed as

Auditory PerceptionVisual PerceptionAnimalsConvolutional Neural NetworksNeural Networks, ComputerSoft ComputingTransistors, Electronicelectro‐optical synapsein‐memory computingneuromorphic floating‐gate transistornon‐volatile memory

Identifiers

PMID42366903

DOI10.1002/adma.73861

PMCPMC13432279

What OpenQuestion holds

Textmetadata

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.