Evidence map›Paper›PMID 36064944›Full record

ArticleNature communications2022

In-sensor image memorization and encoding via optical neurons for bio-stimulus domain reduction toward visual cognitive processing.

Doeon Lee, Minseong Park, Yongmin Baek, Byungjoon Bae, Junseok Heo, Kyusang Lee

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
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  9. Van der Waals Integration of 1D NbAdvanced materials (Deerfield Beach, Fla.) · 2025
    Article
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  11. Article
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  17. Bio-Plausible Multimodal Learning with Emerging Neuromorphic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  18. Article
  19. Article
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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

6 authors.

Doeon Lee *Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.
Minseong Park *Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.
Yongmin BaekDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.ORCID 0000-0002-4387-3042
Byungjoon BaeDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.ORCID 0000-0002-4305-3853
Junseok HeoDepartment of Electrical and Computer Engineering, Ajou University, Suwon, 16499, South Korea. jsheo@ajou.ac.kr.ORCID 0000-0002-8125-6141
Kyusang LeeDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA. kl6ut@virginia.edu.ORCID 0000-0001-7123-3395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As machine vision technology generates large amounts of data from sensors, it requires efficient computational systems for visual cognitive processing. Recently, in-sensor computing systems have emerged as a potential solution for reducing unnecessary data transfer and realizing fast and energy-efficient visual cognitive processing. However, they still lack the capability to process stored images directly within the sensor. Here, we demonstrate a heterogeneously integrated 1-photodiode and 1 memristor (1P-1R) crossbar for in-sensor visual cognitive processing, emulating a mammalian image encoding process to extract features from the input images. Unlike other neuromorphic vision processes, the trained weight values are applied as an input voltage to the image-saved crossbar array instead of storing the weight value in the memristors, realizing the in-sensor computing paradigm. We believe the heterogeneously integrated in-sensor computing platform provides an advanced architecture for real-time and data-intensive machine-vision applications via bio-stimulus domain reduction.

Indexed as

NeuronsVision, OcularAnimalsCognitionMammalsVisual Perception

Identifiers

PMID36064944
PMCPMC9445171

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.