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Unsupervised Learning of Brain State Dynamics during Emotion Imagery using High-Density EEG

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.29.361394Source: DataRank Database

Unsupervised Learning of Brain State Dynamics during Emotion Imagery using High-Density EEG is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). 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 (1 grants)OA: greenTopics (17)IDs (OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Yayu Lin ORCID,Julie Onton ORCID,Tzyy‐Ping Jung ORCID,Scott Makeig ORCID,Sheng-Hsiou Hsu ORCID

Live enrichment

OpenAlex:https://openalex.org/W3096462248

National Science Foundation

Grant: 1719130

PFI:BIC - Unobtrusive Neurotechnology and Immersive Human-Computer Interface for Enhanced Learning

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/10/30/2020.10.29.361394.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.10.29.361394

repositoryhttps://doi.org/10.1101/2020.10.29.361394

https://dx.doi.org/10.1101/2020.10.29.361394

Fields of Study

EEG and Brain-Computer InterfacesFunctional Brain Connectivity StudiesNeural dynamics and brain function03 medical and health sciences0302 clinical medicine

Keywords

ElectroencephalographyPsychologyBrain activity and meditationDynamics (music)Artificial intelligenceIndependent component analysisArtifact (error)Pattern recognition (psychology)Cognitive psychologyComputer scienceSpeech recognitionNeuroscience

Sustainable Development Goals

SDG 0: Reduced inequalities