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Neural networks simulating short-term memory of two inputs with varying commonality

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.20.624539Source: DataRank Database

Neural networks simulating short-term memory of two inputs with varying commonality is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (4 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)

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Authors (4)

Larry Shupe ORCID,Ryan G. Eaton ORCID,Eberhard E. Fetz ORCID,Eric Raman

Live enrichment

PubMed:39605643 OpenAlex:https://openalex.org/W4404579245

National Institutes of Health

Grant: 5R01NS012542-45

Neural Control of Muscle Activity

NCRR NIH HHS

Grant: P51 RR000166

NINDS NIH HHS

Grant: R01 NS012542

NINDS NIH HHS

Grant: R37 NS012542

greenLicense: cc-by

repositoryhttps://doi.org/10.1101/2024.11.20.624539

GREENhttps://doi.org/10.1101/2024.11.20.624539

repositoryhttps://doi.org/10.1101/2024.11.20.624539

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.11.20.624539

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39605643

Fields of Study

Neural Networks and ApplicationsNeural dynamics and brain functionFuzzy Logic and Control SystemsMedicineBiologyComputer Science05 social sciences0501 psychology and cognitive sciences

Keywords

Term (time)Computer scienceShort-term memoryArtificial neural networkLong short term memoryArtificial intelligenceNeurosciencePsychologyRecurrent neural networkWorking memoryPhysicsCognitionArticle