Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons

IEEE Access(2022)10.1109/access.2022.3178951Source: DataRank Database

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons is a research paper published in IEEE Access (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)OA: goldTopics (19)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (4)

Emin Orhan,Kijung Yoon ORCID,Xaq Pitkow ORCID,J.H. Kim ORCID

Live enrichment

PubMed:36339794 PMC:PMC9634945

National Research Foundation of Korea

Grant: NRF-2018R1C1B5086404

National Research Foundation of Korea

Grant: NRF-2021R1F1A1045390

Brain Convergence Research Program of the National Research Foundation (NRF) through the Korean Government [Ministry of Science and ICT (MSIT)]

Grant: NRF-2021M3E5D2A01023887

Technology Innovation Program (Development of Industrial Intelligent Technology for Manufacturing, Process, and Logistics) through the Ministry of Trade, Industry and Energy (MOTIE), South Korea

Grant: 20013726

Research Fund of Hanyang University

Grant: HY-201900000000933

NSF CAREER

Grant: 1552868

NSF NeuroNex

Grant: 1707400

NeuroNex Theory Team: Inferring interactions between neurons, stimuli, and behavior

National Institutes of Health (NIH) BRAIN Initiative Grant

Grant: 5U01NS094368

Intelligence Advanced Research Projects Activity (IARPA) through the Department of Interior/Interior Business Center

Grant: D16PC00003

NINDS NIH HHS

Grant: U01 NS094368

National Institutes of Health

Grant: 5U01NS094368-02

Dynamic network computations for foraging in an uncertain environment

Award from the McNair Foundation

goldLicense: CC BY

publisherhttps://ieeexplore.ieee.org/ielam/6287639/9668973/9785635-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/9668973/09785635.pdf?arnumber=9785635

https://doi.org/10.1109/access.2022.3178951

https://dx.doi.org/10.48550/arxiv.2110.06871

https://pubmed.ncbi.nlm.nih.gov/36339794

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Activation FunctionsAdversarial RobustnessExclusive-or OperationBiological And Artificial NeuronsFOS: Computer and information sciencesComputer Science - Machine LearningComputer Science - Artificial IntelligenceMachine Learning (stat.ML)TK1-9971Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Statistics - Machine LearningQuantitative Biology - Neurons and CognitionFOS: Biological sciencesNeurons and Cognition (q-bio.NC)Electrical engineering. Electronics. Nuclear engineering