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Quantitative modeling of the emergence of macroscopic grid-like representations

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.20.521210Source: DataRank Database

Quantitative modeling of the emergence of macroscopic grid-like representations is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (26)IDs (PubMed)

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Eric T. Reifenstein ORCID,Naomi Auer ORCID,Lukas Kunz ORCID,Richard Kempter ORCID,Ikhwan Bin Khalid ORCID

Live enrichment

PubMed:21097893

Deutsche Forschungsgemeinschaft

Grant: 327654276/SFB 1315

Mechanisms and disturbances in memory consolidation: From synapses to systems

Deutsche Forschungsgemeinschaft

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1U01NS113198-01

Using Direct Brain Stimulation to Study Cognitive Electrophysiology

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/12/20/2022.12.20.521210.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.12.20.521210

https://doi.org/10.7554/elife.85742

https://doi.org/10.1101/2022.12.20.521210

https://dx.doi.org/10.12751/nncn.bc2024.264

Fields of Study

0301 basic medicine03 medical and health sciences0303 health sciences

Keywords

ddc:500ddc:600QH301-705.5ScienceModels, Neurologicalgrid cells500 Naturwissenschaften und MathematikHumansEntorhinal CortexBiology (General)navigationComputational Neuroscience600 Technik und TechnologieQR500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; BiologieMagnetic Resonance Imagingfunctional magnetic resonance imagingSpace PerceptionrodentsMedicineNeuroscienceHuman