Hasil Pencarian - Kay Robbins

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  1. 1
    Events in context—The HED framework for the study of brain, experience and behavior

    Events in context—The HED framework for the study of brain, experience and behavior oleh Scott Makeig, Kay Robbins

    Diterbitkan 2024-05-01
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  2. 2
    DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals.

    DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals. oleh Vernon Lawhern, W David Hairston, Kay Robbins

    Diterbitkan 2013-01-01
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  3. 3
    An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons

    An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons oleh Kay Robbins, Kyung-min Su, W. David Hairston

    Diterbitkan 2018-02-01
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  4. 4
    Capturing the nature of events and event context using hierarchical event descriptors (HED)

    Capturing the nature of events and event context using hierarchical event descriptors (HED) oleh Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig

    Diterbitkan 2021-12-01
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  5. 5
    Automated EEG mega-analysis II: Cognitive aspects of event related features

    Automated EEG mega-analysis II: Cognitive aspects of event related features oleh Nima Bigdely-Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim Mullen, Kay Robbins

    Diterbitkan 2020-02-01
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  6. 6
    Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies

    Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies oleh Nima Bigdely-Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim Mullen, Kay Robbins

    Diterbitkan 2020-02-01
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  7. 7
    Characterization and robust classification of EEG signal from image RSVP events with independent time-frequency features.

    Characterization and robust classification of EEG signal from image RSVP events with independent time-frequency features. oleh Jia Meng, Lenis Mauricio Meriño, Nima Bigdely Shamlo, Scott Makeig, Kay Robbins, Yufei Huang

    Diterbitkan 2012-01-01
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