Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training Article Swipe

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Nicolas Ivanov , Tom Chau ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.3389/fncom.2023.1286681

[This corrects the article DOI: 10.3389/fncom.2023.1108889.].

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Computer Science

Human–Computer Interaction

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Measure (data warehouse) Interface (matter) Computer science Riemannian geometry Training (meteorology) Human–computer interaction User interface Geometry Mathematics Data mining Physics Operating system Bubble Meteorology Maximum bubble pressure method

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Type: erratum
Language: en
Landing Page: https://doi.org/10.3389/fncom.2023.1286681
PDF: https://www.frontiersin.org/articles/10.3389/fncom.2023.1286681/pdf?isPublishedV2=False
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DOI: https://doi.org/10.3389/fncom.2023.1286681

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Title: Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training

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Type: erratum

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Language: en

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Publication year: 2023

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Publication date: 2023-11-17

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Authors: Nicolas Ivanov, Tom Chau

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Landing page: https://doi.org/10.3389/fncom.2023.1286681

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Concepts: Measure (data warehouse), Interface (matter), Computer science, Riemannian geometry, Training (meteorology), Human–computer interaction, User interface, Geometry, Mathematics, Data mining, Physics, Operating system, Bubble, Meteorology, Maximum bubble pressure method

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