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Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.04.510681Source: DataRank Database

Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 28 times.

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Open Access28 citations

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Enrichment:Funding (3 grants)OA: greenTopics (29)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (6)

Martin Schrimpf ORCID,Yian Zhang ORCID,Samuel Bowman ORCID,Noga Zaslavsky ORCID,Evelina Fedorenko ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4301594491

National Institutes of Health

Grant: 5R01DC016950-03

Functional reorganization of the language and domain-general multiple demand systems in aphasia

National Institutes of Health

Grant: 5U01NS121471-04

Computational Neuroscience of Language Processing in the Human Brain

National Institutes of Health

Grant: 3R01DC016607-01A1S1

The neural architecture of pragmatic processing

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/10/05/2022.10.04.510681.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.10.04.510681

repositoryhttps://doi.org/10.1101/2022.10.04.510681

repositoryhttps://hdl.handle.net/1721.1/155151

Fields of Study

Topic ModelingNeurobiology of Language and BilingualismArtificial Intelligence in Healthcare and Education0301 basic medicine02 engineering and technology03 medical and health sciences0202 electrical engineering, electronic engineering, information engineering

Keywords

PerplexityComputer scienceBenchmark (surveying)Language modelArtificial intelligenceArtificial neural networkWord (group theory)Machine learningNatural language processingSpeech recognitionLinguisticsNeurophysiology and neuropsychologyLanguage. Linguistic theory. Comparative grammarP101-410QP351-495150ANNneural data alignmenthuman behavior004language networkdevelopmentResearch Article

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SDG 0: Quality Education