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Prediction of neural activity in connectome-constrained recurrent networks

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.22.581667Source: DataRank Database

Prediction of neural activity in connectome-constrained recurrent networks is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (28)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Ashok Litwin-Kumar ORCID,Manuel Beirán ORCID

Live enrichment

PubMed:38854115 OpenAlex:https://openalex.org/W4392772540

National Institutes of Health

Grant: 1R01EB029858-01

Relating structure and function in synapse-level wiring diagrams

NIBIB NIH HHS

Grant: R01 EB029858

NIDA NIH HHS

Grant: RF1 DA060772

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/02/27/2024.02.22.581667.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.02.22.581667

repositoryhttps://doi.org/10.1101/2024.02.22.581667

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38854115

Fields of Study

Neural dynamics and brain functionAdvanced Memory and Neural ComputingNeural Networks and Applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

ConnectomeComputer scienceDegeneracy (biology)Human Connectome ProjectTask (project management)Artificial neural networkNetwork dynamicsFunction (biology)Artificial intelligenceMachine learningNeuroscienceFunctional connectivityMathematicsPsychologyBiologyNeuronsModels, NeurologicalBrainAnimalsHumansNeural Networks, ComputerNerve NetArticle

Sustainable Development Goals

SDG 0: Quality Education