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    Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise

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    MEG data collected from the participant that performed the at-will attention switching experiment (467.9Mb)
    No. of downloads: 74

    Waveform of the Male Speaker (3.785Mb)
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    Waveform of the Female Speaker (3.785Mb)
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    Date
    2020-08-02
    Author
    Presacco, Alessandro
    Miran, Sina
    Fu, Michael
    Marcus, Steven
    Citation
    "Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise", PLOS Computational Biology (2020), in press
    Advisor
    Jonathan, Simon
    Babadi, Betash
    DRUM DOI
    https://doi.org/10.13016/di6h-cav9
    Metadata
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    Abstract
    MEG data used for the "Switching attention" experiment
    Notes
    MEG data were collected from 157 sensors + 35 additional channels (158 - 192) used for reference and trigger. Each mat file contains information about the data, such as sampling frequency. A 3D matrix is used to store the 3 repetitions recorded.
    URI
    http://hdl.handle.net/1903/26351
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    • Institute for Systems Research Technical Reports

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