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

Presacco, Alessandro; Miran, Sina; Fu, Michael; Marcus, Steven

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MEG data collected from the participant that performed the at-will attention switching experiment (467.9Mb)
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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

Collections

Institute for Systems Research Technical Reports