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Rapid decoding of neural information representation from ultra-fast functional magnetic resonance imaging signals

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.07.21.665938Source: DataRank Database

Rapid decoding of neural information representation from ultra-fast functional magnetic resonance imaging signals is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

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Authors (9)

Kenshu Koiso ORCID,Daniel A. Handwerker ORCID,Javier González-Castillo ORCID,Laurentius Huber ORCID,Arman Khojandi

Live enrichment

PubMed:20819859 OpenAlex:https://openalex.org/W4413269086

JSPS KAKENHI

Grant: JP20H00600

JSPS KAKENHI

Grant: JP18KK0311

JSPS KAKENHI

Grant: JP17H01755

JSPS KAKENHI

Grant: JP25H01138

JST PRESTO

Grant: JPMJPR1778

Intramural Research Program of the NIMH

Grant: ZIAMH002783

Intramural Research Program of the NIMH

Grant: ZICMH002888

Yamada Science Foundation

greenLicense: public-domain

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/07/25/2025.07.21.665938.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.07.21.665938

repositoryhttps://doi.org/10.1101/2025.07.21.665938

Fields of Study

Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsNeural dynamics and brain function

Keywords

Functional magnetic resonance imagingVoxelDecoding methodsComputer scienceArtificial intelligenceNeural decodingPattern recognition (psychology)NeuroimagingComputer visionNeurosciencePsychologyAlgorithm