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Neuromorphic visual scene understanding with resonator networks

Nature Machine Intelligence(2024)10.1038/s42256-024-00848-0Source: DataRank Database

Neuromorphic visual scene understanding with resonator networks is a research paper published in Nature Machine Intelligence (2024). On theSindex it has a DataRank of 0.449. It has been cited 19 times.

N/A

0.449DataRank · unranked

Scored on demand from live citation data

Open Access19 citations

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Linked data & code

Neuromorphic Visual Scene Understanding with Resonator Networks · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 2.22)OA: greenTopics (36)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.449

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (8)

Lazar Supic ORCID,Andreea Danielescu ORCID,Giacomo Indiveri ORCID,Bruno A. Olshausen,Yulia Sandamirskaya ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4400081506

U.S. Department of Health & Human Services | National Institutes of Health

Grant: 1R01EB026955-01

Building analysis tools and a theory framework for inferring principles of neural computation from multi-scale organization in brain recordings

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Grant: ELMA PZOOP2 168183

Universität Zürich

Grant: FK-21-136

Volkswagen Foundation

Grant: CLAM 9C854

Swiss National Science Foundation

Grant: 168183

Embodied Long-Term Memory for Cognitive Neuromorphic Agents

National Science Foundation

Grant: 2211386

Collaborative Research: IIS: RI: Medium: Lifelong learning with hyper dimensional computing

Swiss National Science Foundation

Grant: 186999

Spiking Memristive Architectures for Learning to Learn

Swiss National Science Foundation

Grant: 26955

Stickstoffakkumulation und -mobilisation; Vergleich von nitrat- oder ammoniumernährten Gräserpflanzen.

FWCI

2.22

Citation Percentile

0.9%

Citation Trend

2022

2024

2025

2026

greenLicense: cc-by-nc-nd

repositoryhttps://www.zora.uzh.ch/268846

publisherhttps://www.nature.com/articles/s42256-024-00848-0.pdf

publisherhttps://www.nature.com/articles/s42256-024-00848-0

journalhttps://doi.org/10.1038/s42256-024-00848-0

Fields of Study

Advanced Memory and Neural ComputingNeural dynamics and brain functionCCD and CMOS Imaging Sensors02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Neuromorphic engineeringComputer scienceResonatorNeuroscienceHuman–computer interactionArtificial intelligencePsychologyArtificial neural networkOpticsPhysicsFOS: Computer and information sciences1707 Computer Vision and Pattern RecognitionComputer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionComputer Science - Neural and Evolutionary Computing1702 Artificial IntelligenceElectrical Engineering and Systems Science - Image and Video Processingelectronic engineeringFOS: Electrical engineering1712 Softwareinformation engineering1709 Human-Computer InteractionArtificial Intelligence (cs.AI)1705 Computer Networks and CommunicationsFOS: Electrical engineering, electronic engineering, information engineering570 Life sciences; biologyI.4.8Neural and Evolutionary Computing (cs.NE)10194 Institute of Neuroinformatics

Neuromorphic Visual Scene Understanding with Resonator Networks

10.48550/arxiv.2208.12880arXiv