Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise
| dc.contributor.advisor | Jonathan, Simon | |
| dc.contributor.advisor | Babadi, Betash | |
| dc.contributor.author | Presacco, Alessandro | |
| dc.contributor.author | Miran, Sina | |
| dc.contributor.author | Fu, Michael | |
| dc.contributor.author | Marcus, Steven | |
| dc.date.accessioned | 2020-08-02T20:49:25Z | |
| dc.date.available | 2020-08-02T20:49:25Z | |
| dc.date.issued | 2020-08-02 | |
| dc.description | 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. | en_US |
| dc.description.abstract | MEG data used for the "Switching attention" experiment | en_US |
| dc.description.sponsorship | Defense Advanced Research Projects 736 Agency (DARPA) under cooperative agreement number N660011824024 | en_US |
| dc.identifier | https://doi.org/10.13016/di6h-cav9 | |
| dc.identifier.citation | "Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise", PLOS Computational Biology (2020), in press | en_US |
| dc.identifier.uri | http://hdl.handle.net/1903/26351 | |
| dc.language.iso | en | en_US |
| dc.publisher | PLOS Computational Biology | en_US |
| dc.relation.isAvailableAt | Institute for Systems Research | en_us |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_us |
| dc.relation.isAvailableAt | University of Maryland (College Park, MD) | en_us |
| dc.subject | MEG | en_US |
| dc.subject | Dynamic switching of attention | en_US |
| dc.subject | State-Space Model | en_US |
| dc.title | Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise | en_US |
| dc.type | Article | en_US |
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- Name:
- R2082_Cocktail_171.mat
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- 467.94 MB
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- Description:
- MEG data collected from the participant that performed the at-will attention switching experiment
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- Name:
- Seg_V_885_5_Sec_filt.wav_Short_Norm.wav
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- 3.79 MB
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- Description:
- Waveform of the Male Speaker
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- Name:
- Seg_IV_Female_Sleepy_1413.2_Sec_filt.wav_Short_Norm.wav
- Size:
- 3.79 MB
- Format:
- Broadcast Wave Format
- Description:
- Waveform of the Female Speaker